System and method for translating an asset for distribution over multi-tiered networks

ABSTRACT

The present invention provides a system and method for translating an asset for distribution to a multi-tiered network node. An asset may represent network and/or application components (e.g., data, objects, applications, program modules, etc.) that may be distributed among the various resources of the network. In an embodiment, an asset has a logic/data section and an extended environment section. The logic/data section defines a function of the digital asset along with the asset&#39;s type, while the extended environment section supports the function of the logic/data section within at least one source environment. The asset type is determined and a process asset adapter, associated with the asset type and a target environment, is selected. The asset is then translated into a processed asset having a processed extended environment section supporting the function of the logic/data section in the target environment.

PRIORITY DOCUMENTS & RELATED REFERENCES

[0001] This application claims priority to provisional U.S. PatentApplication Serial No. 60/229,685, entitled “Distributed InternetServices Provisional Filing”, filed on Sep. 1, 2000 to Chen et al. whichis incorporated herein by reference in its entirety.

[0002] Priority is also claimed for the following documents for anymatter not disclosed in provisional U.S. Patent Application Serial No.60/229,685 incorporated by reference above. The following references arerelated to this patent application and are herein incorporated byreference in their entirety:

[0003] provisional U.S. Patent Application Serial No. 60/236,864,entitled “Distributed Internet Server” to Pace et al., filed Sep. 29,2000;

[0004] provisional U.S. Patent Application Serial No. 60/237,179,entitled “Business Plan and Business Plan Executive Summary” to Chen etal., filed Oct. 2, 2000;

[0005] provisional U.S. Patent Application Serial No. 60/254,377,entitled “Distributed Internet Services provisional filing II” to Paceet al., filed Dec. 8, 2000;

[0006] provisional U.S. Patent Application Serial No. 60/262,288,entitled “Data Structure, Architecture, Apparatus, and Program ProductCapable of Being Distributed to and Executed on Different Network Tiersand on Various Computer Platforms and Environment” to Pace et al., filedJan. 17, 2001;

[0007] U.S. patent application Ser. No. ______, entitled “ExtendedEnvironment Data Structure for Distributed Digital Assets OverMulti-tiered Computer Networks”, to Pace et al., filed Sep. 4, 2001;

[0008] U.S. patent application Ser. No. ______, entitled “Server Systemand Method for Discovering Digital Assets in Enterprise InformationSystems”, to Bobick et al., filed Sep. 4, 2001;

[0009] U.S. patent application Ser. No. ______, entitled “Server Systemand Method for Exporting Digital Assets in Enterprise InformationSystems”, to Pace et al., filed Sep. 4, 2001;

[0010] U.S. patent application Ser. No. ______, entitled “System andMethod for Transactional Deployment J2EE Web Components, Enterprise JavaBean Components, and Application Data over Multi-tiered ComputerNetworks”, to Pace et al., filed on Sep. 4, 2001;

[0011] U.S. patent application Ser. No. ______, entitled “Server Systemand Method for Distributing and Scheduling Modules to be Executed onDifferent Tiers of a Network”, to Pace et al., filed Sep. 4, 2001;

[0012] U.S. patent application Ser. No. ______, entitled “DataStructure, Architecture Apparatus, and Program Product Capable of BeingDistributed to and Executed on Different Network Devices and on VariousComputer Platforms and Environments”, to Pace et al., filed Sep. 4,2001;

[0013] U.S. patent application Ser. No. ______, entitled “System andMethod for Distributing Assets to Multi-Tiered Network Nodes , toPizzomi et al. filed on Sep. 4, 2001;

[0014] U.S. patent application Ser. No. ______, entitled “Method andSystem for Deploying An Asset Over a Multi-Tiered Network”, to Pace etal. filed on Sep. 4, 2001;

[0015] U.S. patent application Ser. No. ______, entitled “System andMethod for Translating an Asset for Distribution Over Multi-TieredNetworks (Processing)” to Pace et al. filed on Sep. 4, 2001;

[0016] U.S. patent application Ser. No. ______, entitled “System andMethod for Synchronizing Assets on Multi-Tiered Networks, to Pace et al.filed on Sep. 4, 2001;

[0017] U.S. patent application Ser. No. ______, entitled “Method andSystem for Deploying an Asset Over a Multi-Tiered Network” to Pace etal. filed on Sep. 4, 2001;

[0018] U.S. patent application Ser. No. ______, entitled “System andMethod for Adjusting the Distribution of an Asset Over a Multi-TieredNetwork”, to Pace et al. filed on Sep. 4, 2001;

[0019] U.S. patent application Ser. No. ______, entitled “System andMethod for Bridging Assets to Network Nodes on Multi-Tiered Networks”,to Pace et al. filed on ______;

[0020] U.S. patent application Ser. No. ______, entitled “Method andSystem for Deploying an Asset Over a Multi-Tiered Network”, to Pace etal. filed on Sep. 4, 2001, describing asset streaming;

[0021] U.S. patent application Ser. No. ______, entitled “System,Method, and Data Structure for Packaging Assets for Processing andDistribution on Multi-Tiered Networks”, to Bobick et al. filed on Sep.4, 2001;

[0022] U.S. patent application Ser. No. ______, entitled System andMethod for Transactional and Fault-Tolerant Distribution of DigitalAssets Over Multi-Tiered Computer Networks, to Bobick et al. filed onSep. 4, 2001;

[0023] U.S. patent application Ser. No. ______, entitled “System andMethod for Collaboration Using Web Browsers”, to Chen et al. filed onSep. 4, 2001;

[0024] PCT Patent Application No. ______, entitled “System and Methodfor Collaboration Using Web Browsers”, to Chen et al. filed on Aug. 31,2001;

[0025] PCT Patent Application No. ______, entitled “System, Method,Uses, Products, Program Products, and Business Methods for DistributedInternet and Distributed Network Services”, to Chen et al. filed on Aug.31, 2001; and

[0026] U.S. patent application Ser. No. ______, entitled “System,Method, Uses, Products, Program Products, and Business Methods forDistributed Internet and Distributed Network Services”, to Chen et al.filed on Sep. 4, 2001.

FIELD OF THE INVENTION

[0027] The present invention relates to a system and method fortranslating an asset for distribution over a multi-tiered network.

BACKGROUND OF THE INVENTION

[0028] Network applications have evolved over time to take on amulti-tiered client and server arrangement (i.e., architecture).Typically, one or more server computers are connected through theirnetwork interfaces by one or more networks to one or more clientcomputers. Networks may include data networks (e.g., Internet), voicenetworks (e.g., Public Switched Telephone Network—“PSTN”), wired orwireless networks, and any combination of these used to communicatedata, voice, programs, general content, and/or other information.Networks may be local to a company or organization, such as a Local AreaNetwork (“LAN”) and an intranet, or they may expand over largegeographic areas, such as a Wide Area Network (“WAN”), that may eveninterconnect other networks. One widely used and developing network isthe Internet, which includes the World Wide Web (“WWW”). The “WWW” usesWeb browser software running on the client computers of the network toexecute certain Web-based applications. These Web-based applications mayinclude pages that are served from one or more of the Web servers on theWWW in HyperText Markup Language (“HTML”) format.

[0029] Many applications on the Internet, and other networkenvironments, use a module or modules of software called “middleware”.Broadly, middleware can be any computer software function that isperformed between a client and a host system such as a database serverand a Web server. However, middleware typically runs on servers thatoperate between the clients and other servers in a network. For example,these other servers may include an Oracle Database, IBM DB2 and IBM CICSserver. Middleware is often used to execute certain computer programswhich are meant to off load processing from these other servers, topreprocess information for client computers, and/or to perform a set offunctions or services that are commonly needed for certain kinds ofapplications. Some examples of functions or services that are typicallyperformed by “middleware” would be transaction monitoring andcoordination, server load-balancing, host fail-over and otherapplication level services.

[0030] A typical Enterprise Information System (“EIS”) is comprised ofclient computers, middleware servers, and database servers. Web serversare included within the EIS when Web browser based clients must beserved via the Internet/Intranet. EIS's are generally known and mayinclude application programs that perform the functions required by anygiven business and/or organization. For example, an EIS may include,inter alia: online customer order entry systems; online retail/wholesalesales, marketing, and inventory systems; enterprise supply chainmanagement systems; product and/or content distribution systems (e.g.television, home video); online financial systems (e.g., mortgageapplications, investing, stock trading, loan application, and creditcard accounts); service providing systems (including medical, legal,real estate, engineering, education, distance leaning, and technicalsupport); online human resource and payroll services; online bankingsystems (e.g., deployed by a bank or other financial institutions and/orthe retail banking systems used internally by bank personnel); airlinereservation systems; and any other general way of transacting businessover a network.

[0031] Often these functions/application programs are made of parts. Forexample, an application program can be made of components, modules, orfunctions (see discussion of FIG. 1F below), which in turn are made ofobjects. The component, module or function may also include either anexpressed or implied order in which to execute the respective objects inthe component, module, or function. This order can be shown or definedby an execution graph. Restated, the execution graph may be implied bythe “calling structure” of the program.

[0032] Execution of one or more of these components, modules, functionsand/or entire applications can be performed at various locations over anetwork. This well known type of program execution is called distributedprogramming. One primary advantage of distributed programming is to moreefficiently utilize the distributed computing resources over the networkto achieve improved performance. Performance can be gauged using certaincriteria such as execution time, and controlled using certain middlewareapplications such as fault-tolerance and load balancing. Importantcomputing resources such as CPUs, network bandwidth, software functionsand data storage must be well managed in order to achieve customary andgenerally known system requirements usually referred to as reliability,availability and scalability (“RAS”).

[0033] Distributed computing can allow programs to run faster becausethe work of the program is divided among multiple computer systems.Also, specific tasks in the program can be executed on a computer thathas the facilities to best execute these tasks. For example, amathematically intensive task could be run on a computer that has aparticularly fast processor for executing mathematical problems andapplication programs that support a large variety of mathematicalfunctions.

[0034] However, distributed programming often fails if the communicationamong the processors involved gets too complicated. Programs have to bedeveloped and installed to insure that data among the processors iscoherent. Some systems cannot tolerate noise or spurious signals on thenetwork. Delays in receiving data from one or more processors could slowthe entire system. In order to be distributed, application programs mustbe written so that tasks can be broken apart and the results of thesetasks accurately combined. This often greatly adds to projectdevelopment costs, assuming that these objectives can be accomplished atall. Communication between the various computers on the network and theprograms/protocols the computers are using must be compatible.

[0035] Often the network is thought of as being divided into tiers whereeach of these components, modules, or functions is executed. These tiersare commonly divided by functional (or logical) and/or physicalcomputing levels or sub-tiers. The advantage of dividing the networkapplication system into multiple tiers is to facilitate the developmentand deployment of the various computing resources. Some times tiers arethought of as physical locations where components, modules, or functionsof programs are executed. For example, some components, modules orfunctions can be executed on the EIS tier or middleware tier, whileother components, modules, or functions are executed on the clientcomputers (the client tier). Alternatively, tiers of the network can bedivided logically, such as on a small human resource system, where theclient and server part of the components, modules, or functions are allon one computer, but logically the components, modules, or functions arestill developed and deployed based on the client and the server tierbeing separate tiers.

[0036] Network tiers can also be combinations of physical and logicaltiers. For example, take an online banking system that is comprised of aclient computer, middleware servers, and various backend databasesystems. Suppose the client, middleware and database systems arephysically separate computer systems (tiers). The middleware tier may besubdivided into logical tiers such as a Web server, an applicationserver, and a transaction server tier.

[0037] In much of the existing middleware, objects used are highlyinterdependent and defined by the function(s) of the middleware. Somewell-known middleware objects include: Sun Microsystem's Java ServerPage™ (“JSP”) and Enterprise Java Bean™ (“EJB”). The JSP object executesprograms, based on requests from one or more clients. The EJB objectexecutes certain programs that are pre-packaged into an “Enterprise JavaBean” format. Other objects may include, for example, general datafiles, general programs, and general multimedia content files (e.g.,text, video, sound, and voice content).

[0038] It is often necessary for various servers and clients tocommunicate even though they may have different runtime environments(i.e., are running different application programs such as middleware)and are running on different platforms (i.e., have different hardwareand operating systems). Generally, servers and clients communicate usingwell-known protocols like HyperText Transfer Protocol (“HTTP”) overTCP/IP. Other network communication protocols include InternetInteroperable Protocol (“IIOP”) that permits communication betweendifferent computer platforms over a network. One example of a technologythat uses IIOP would be the Common Object Request Broker Architecture™(“CORBA”). At a high-level CORBA specifies many standards involvingapplication level communication among disparate applications andcomputing platforms.

[0039] The prior art discloses some “open” architectures that permitprogrammers to develop code that will have general use in a networkingenvironment. Some of these architectures permit communication betweenprograms executing on different systems, different platforms orenvironments, and even using different programming languages over thenetwork (and network tiers.) An open architecture encourages developmentof applications that can be used generally with a flexibility tointeract with any other architecture based program (component, module,function or object) without regard to what, where, or on what system theother application parts exist or execute.

[0040] One such open architecture system is called JINI™. JINI usesJava™ technology to wrap these otherwise incompatible programs,particularly driver programs for input/output devices so that thesedevices can be plugged into a JINI compatible network and operate andcommunicate with any other device on the network. For example, JINI canbe used to permit any pervasive device on a wireless network tocommunicate with any other JINI compatible pervasive device that comeswithin the communication range of the wireless network.

[0041] FIGS. 1A-1E discussed below are each a block diagram illustratinga prior art middleware computer platform.

[0042]FIG. 1A is a block diagram illustrating a general middlewarecomputer system 160 with well-known computer hardware 100, a generalnetwork operating system 102 (e.g., Microsoft Windows NT™), a middlewareplatform 104 (e.g., Microsoft Commerce Server), a transactionaloperating system 106 (e.g., Microsoft Transaction Server—“MTS”), and agiven application program 108 (e.g., an online ticketing salesapplication).

[0043]FIG. 1B is a block diagram illustrating a generally known Javamiddleware platform 170 that has computer hardware 100 and a networkoperating system 102. A middleware platform which supports EnterpriseJava Beans (“EJB”) 114 runs on the network operating system 102 thatallows Java application programs 118 to run on the system 170.

[0044]FIG. 1C is a block diagram illustrating a generally known CORBAmiddleware platform 180 that has computer hardware 100 and a networkoperating system 102. The CORBA middleware platform 124 permits generalapplication programs 120 to operate on this platform. For example, theseapplication programs 120 may include Java, C++, COBOL, and Smalltalkprograms.

[0045]FIG. 1D is a block diagram illustrating a generally known Windowsmiddleware system 190 that operates on Windows compatible hardware 100.A Windows DNS (COM/MTS) or MTS system is a middleware system 134available from the Microsoft Corporation that permits generalapplication program 120 to run on the platform 190.

[0046]FIG. 1E is a block diagram illustrating a generally known system195 that uses hardware 100, a network operating system 102, and amiddleware program 144 called TUXEDO™ (made by BEA Systems, Inc). Thisplatform 195 runs application programs 146 written in the C programminglanguage.

[0047]FIG. 1F is a diagram showing a prior art hierarchical relationshipamong system and application parts. The largest part is a system 105Fthat contain one or more complete applications 108. The system 105F alsocan contain one or more subsystems 106F that each in turn may includeone or more applications 108. The application 108 is a group of one ormore computer programs. Subapplications 110F. are parts of applications108. Some applications 108 and/or subapplications 110F may include oneor more components 120F.

[0048] A component 120F may exist at a some significant layer within anapplication 108. A component 120F may be part of a distributed systemthat interacts with its environment by exchanging message/informationwith other components 120F and/or applications (108, 110F). Components120F may include runnable (i.e., executable) and non-runnable parts. Therunnable/executable parts of components 120F are generally calledmodules 130. Modules 130 in turn comprise one or more functions 140Falso known as routines 140F or methods 140F.

[0049] Middleware, and for that matter, other prior art programs thatfunction in a network environment, often need to communicate informationbetween logical and/or physical functions in the network. For example,data or programs (e.g. objects) might need to be passed to a program orcomponent, module, or function executing on the same machine as theapplication program. On the other hand, this information might have tobe passed across the network to components, modules, functions,subapplications, or applications that are running on completelydifferent computers. The prior art has various ways of addressing thisproblem. Some prior art passes information “by value” betweencomponents, modules, functions or applications. Thus, information neededis passed, e.g. in a “call statement” or header file to the component,module, function or application requiring the information. Otherinformation, such as the results from a calculation, can be passed backin a same manner. Other prior art uses replication to pass information.In replication, programs and data are copied from one machine (computer)to a second machine where they are executed in an “island” mode.

[0050] Some prior art (e.g. Castanet™) is able to package and deploybusiness applications to computers over the network. Other prior artincludes content distribution systems (e.g., those marketed by Akamai,Inc.) that physically locate caching servers throughout the world tocache content from Web sites and provide more local delivery to end user(clients). Similar systems include Digital Island, Ltd's globaldistribution network, called Footprint, that pushes certain applicationcontent through the network to servers located closer to the end-user.Inktomi Traffic Server™ is a network cache platform from Inktomi Inc.that delivers certain application content to servers across the network.

[0051] Several terms and concepts are defined in the prior art ofsoftware analysis, design, and programming languages. Software systemscan be composed of one or more applications. These applications can beassembled from one or more components, modules, functions or objects.

[0052] In software written using object-oriented techniques, manymodules further have a one-to-one correspondence with a class in theparticular object-oriented language. A class or set of classes may alsobe considered a component if the class or set of classes meets therequirements of a specified component system. Examples of componentsystems are: COM, CORBA, EJB, ActiveX, XPCOM, and Java Beans.

[0053] Classes may be composed of one or more functions or proceduresoptionally coupled along with one or more variables. The functions orprocedures are generally referred to as methods, while the variables aregenerally referred to as data members.

[0054] At runtime, classes are instantiated into objects, which aredistinct entities, separate from the definition of the object, that is,the class. The data members represent the data or state of the object.The methods characterize the behavior of the object.

[0055] Build systems transform collections of non-runnable computerfiles into runnable computer modules and assembles them into componentsand applications. Build systems cannot identify or export requireddigital assets (hereinafter also termed assets) on an existingEnterprise Information System (“EIS”). Build systems also cannotidentify runtime execution and data dependencies in previously installedEIS applications. Build systems generally contain incremental linkerswhich establish runtime relationships among modules of object code andare an improvement over regular linkers because they re-link onlychanged modules on command.

[0056] Archive utilities (e.g., archive utilities generating Zip, Gzip,and Tar archive files) are used for distributing and storing files.These files may contain one or more program and data files. Usually thearchive files are compressed to save space. Archive files make it easyto group files and make transporting and copying these files faster.Typically, archive utilities examine the file types of the files to bezipped and invoke a file type specific compression subroutine tocompress the file and add it to the archive.

[0057] Other types of software examine computer files and invoke rulesbased on file type to achieve specific results. Specifically, virus scansoftware will examine executable programs and based on one or morerules, determine whether there is a virus in the executable routine ofthe program. Virus scan software (e.g., McAfee virus software) can notbe used and is not meant to be used to discover particular software,package the software, and then distribute the software over a network.

[0058] Software which may be classified as “enhanced” build systems(e.g., Starbase) control versioning of code and static elements ofsoftware products during development, as well as deployment of thecompleted products of development using various transport mechanisms todestination user computing platforms. Such enhanced build systems aredesigned to control and deploy only work in progress, ancillaryproducts, and the completed products of development, and the inventoryof code, static, and ancillary elements managed by such systems isrigorously constrained and must be rigorously constrained to thosepurposes. Such enhanced build systems cannot be used and are not meantto be used to discover particular software, package the software, andthen distribute the software over the Internet.

[0059] The prior art also discloses specifications for deployment of Webcomponents (particularly J2EE Web components), Enterprise Java Bean(“EJB”) components, and J2EE application data. The J2EE specificationprovides methods of transactional deployment of J2EE Web and EJBcomponents to application server products that otherwise comply with theJ2EE specification. There is no provision in the J2EE specification fortransactional deployment of J2EE application data.

[0060] Using different computing environments and platforms creates manycommunication and operability problems on the network. For example, manycomputing environments (including middleware environments) only canoperate with programs with which they are specifically designed tooperate. Much of the prior art is unable to communicate or shareinformation or programs with any general platform or computingenvironments. Much of the prior art cannot distribute programs and/ordata over one or more networks so that the programs can be executed andthe data used on any given platform or environment. Where thisdistribution occurs, it is only possible with the expenditure ofconsiderable resources and highly trained system designers.

[0061] The prior art does not solve the need to be able to distributedata, programs, and portions of programs in a more efficient way overvarious tiers of a network to operate on any general platform orenvironment.

[0062] Another variation of this problem involves the explanation ofmiddleware's intra-tier distribution versus inter-tier distribution.Middleware application servers are targeted at defining tiers offunctionality. These tiers may scale within the tier, but notnecessarily utilizing the processing power available in other tiers.

[0063] Much of the prior art middleware is constrained. Typically,middleware is only used with a particular EIS and is designedspecifically for that EIS's platform and environment. Often thismiddleware operates in local area networks with {fraction (10/100)}megabits of bandwidth or less. Most of this middleware cannoteffectively function in a wide area network environment, or on theInternet, where bandwidth capabilities are often more restrictive. Thismiddleware cannot communicate with computer systems that do not use thesame communication protocols for which the middleware was designed.

[0064] Much of the middleware typically operates between the EIS Webserver and the EIS database management system (“DBMS”). The result isthat the performance of the middleware is limited by the performance ofthe EIS Web server and/or the EIS DBMS.

[0065] Much of the middleware does not work with components, modules orfunctions that are designed to execute on a platform/environmentdifferent than that of the EIS for which the middleware was designed.Therefore, this middleware can't organize, schedule, and/or distributeapplications outside of the EIS. This prior art middleware cannot enablethe execution of any general component, module, function, and/orapplication program to be executed on any general computer with anygeneral platform/environment, nor does this middleware suggest how thismight be done. The prior art middleware cannot distribute applicationprograms and/or components, modules or functions for execution overdifferent tiers of a network, nor has the prior art recognized the needto do this.

[0066] Some prior art architectures (e.g., JINI) permit communicationbetween computers with different platforms/environments. However, muchof this communication is used to enable standard interface functionslike print, read data, etc. These architectures are not capable ofdecomposing complex application programs, of the sort found on an EIS,and recomposing these application programs so that they can be executedon any given platform. These prior art architectures cannot organize,schedule, and/or distribute application programs and/or components,modules, or functions across many tiers of a network so that theseapplication programs/components, modules or functions can be executed onany general platform/environment.

[0067] Much of the prior art cannot automatically identify and extractsubapplications, components, modules, functions, and specific files anddata structures from legacy programs located on an EIS in order toexport these application parts to other machines connected to the EISthrough one or more networks. In addition, the prior art generally failsto identify these application parts by type so that the applicationparts can be processed in such a manner to include the necessaryinformation and structures particular to the type so that theapplication part can be transformed and/or executed on various tiers ofthe network.

SUMMARY OF THE INVENTION

[0068] The present invention provides a system and method fortranslating an asset for distribution to a multi-tiered network node. Anasset may represent network and/or application components (e.g., data,objects, applications, program modules, etc.) that may be distributedamong the various resources of the network. In an embodiment, an assethas a logic/data section and an extended environment section. Thelogic/data section defines a function of the digital asset along withthe asset's type, while the extended environment section supports thefunction of the logic/data section within at least one sourceenvironment. The asset type is determined and a process asset adapter,associated with the asset type and a target environment, is selected.The asset is then translated into a processed asset having a processedextended environment section supporting the function of the logic/datasection in the target environment.

[0069] An exemplary embodiment of a component distribution server (CDS)system according to the present invention, connected to at least onenetwork through at least one respective network interface, includes: apackage specification process that receives at least one package, thepackages being subparts of at least one application program from atleast one enterprise information system (EIS), the packages having atleast one asset, each asset having an asset type and at least two assetlayers, a first asset layer being a logic/data layer and a second assetlayer being an extended environment layer, the logic/data layer havinginformation that includes a function of the asset and the extendedenvironment layer being a subset of the EIS and having portions of theEIS necessary to support the respective logic/data layer; a processadapter process that translates at least one of the asset layers so thatthe asset performs the asset function on at least one target baseenvironment of at least one target computer; and a target process thatchanges the at least one of the layers of the asset in order to providespecific information for at least one of the specific target computers,whereby a transformed asset is an asset that is translated by theprocess adapter process and changed by the target process.

[0070] An exemplary method executed by a computer server connected to atleast one network according to the present invention includes the stepsof: receiving at least one package from at least one enterpriseinformation system (EIS), the packages being subparts of at least oneapplication program, the packages having at least one asset, each assethaving an asset type and at least two asset layers, a first asset layerbeing a logic/data layer and a second asset layer being an extendedenvironment layer, the logic/data layer having information that includesa function of the asset and the extended environment layer being asubset of the EIS and having portions of the EIS necessary to supportthe respective logic/data layer; translating at least one of the assetlayers so that the asset can perform the asset function on at least onetarget base environment of at least one target computer; and changing atleast one of the layers of the asset in order to provide specificinformation for at least one specific target computer.

[0071] An exemplary embodiment of a computer server according to thepresent invention includes: an arrangement configured to receive atleast one package from at least one enterprise information system (EIS),the packages being subparts of at least one application program, thepackages having at least one asset, each asset having an asset type andat least two asset layers, a first asset layer being a logic/data layerand a second asset layer being an extended environment layer, thelogic/data layer having information that includes a function of theasset and the extended environment layer being a subset of the EIS andhaving portions of the EIS necessary to support the respectivelogic/data layer; an arrangement configured to translate at least one ofthe asset layers so that the asset can perform the asset function on atleast one target base environment of at least one target computer; andan arrangement configured to change at least one of the layers of theasset in order to provide specific information for at least one specifictarget computer.

[0072] In an exemplary embodiment of a computer memory storage devicestoring a computer program according to the present invention, thecomputer program includes the steps of: receiving at least one packagefrom at least one enterprise information system (EIS), the packagesbeing subparts of at least one application program, the packages havingat least one asset, each asset having an asset type and at least twoasset layers, a first asset layer being a logic/data layer and a secondasset layer being an extended environment layer, the logic/data layerhaving information that includes a function of the asset and theextended environment layer being a subset of the EIS and having portionsof the EIS necessary to support the respective logic/data layer;translating at least one of the asset layers so that the asset canperform the asset function on at least one target base environment of atleast one target computer; and changing at least one of the layers ofthe asset in order to provide specific information for at least onespecific target computer. An exemplary method and/or exemplaryembodiment of the present invention provides an improved system andmethod for extracting and exporting digital assets of an EIS so that EISsystems, sub systems, applications, sub applications, components,modules, or functions, and/or objects can be packaged, distributed,deployed, executed, synchronized, and/or managed through a lifecycleover a multi-tiered network. Another exemplary method and/or exemplaryembodiment of the present invention provides an improved system andmethod for extracting and exporting as a means of distributing,deploying, and/or executing web applications, components, modules orfunctions and/or objects over the Internet. Another exemplary methodand/or embodiment of the present invention provides an improved systemand method for extracting and exporting types of digital assets that areextracted from one or more EIS/source and identifying those digitalassets according to their respective type so that the digital asset canbe exported, e.g., in packages, from the EIS/source to be distributed,deployed, executed, synchronized, and/or managed through a lifecycleover tiers of the network.

[0073] Another exemplary method and/or embodiment of the presentinvention provides a system, method, article of manufacture, and acomputer program product that locates and categorizes identified memberobjects of one or more computer system parts in an EnterpriseInformation System (EIS) or other sources for export to either apackaging process or to another computer system over tiers of one ormore networks. The exemplary method and/or embodiment begins bytraversing an intermediate representation of one or more parts of acomputer system while applying one or more context rules to determine acontext of the parts. The context may be either a standard specifiedcontext or a non-specified context. If a standard specified context isdetermined, a directed search is performed to acquire any of the set ofrunnable and/or non-runnable member objects in one or more locations inan Enterprise Information System (EIS) or other sources as identified inthe intermediate representation and specified by the context. If anon-specified context is determined, an implicit traversal search isperformed for any of the set of runnable and/or non-runnable memberobjects in one or more locations in an Enterprise Information System(EIS)/source identified in the intermediate representation. One or moreof the set of runnable and/or non-runnable member objects are thenaccessed at their respective locations in the EIS/source. A preliminarypackage specification may be made for the accessed set of the runnableand/or non-runnable member objects. Digital assets in an asset inventorythat correspond to the respective runnable and non-runnable memberobjects, may be listed in the preliminary package specification andupdated by adding one or more export descriptors to the extendedenvironment of the respective digital assets. In another exemplarymethod and/or embodiment, one or more entries in an asset definitiondata structure corresponding to each of the respective digital assetsare updated.

[0074] An exemplary embodiment and/or exemplary method of the presentinvention provide a computer system and a method for transactionaldeployment of one or more components over a multi-tier network, whichcomputer system has one or more J2EE application server programs whichare stored on one or more memories of the system and which are executedby one or more central processing units (CPUs). One or more J2EEapplications can be executed on the J2EE application servers, and one ormore J2EE application containers are contained within each J2EEapplication server. In turn, each J2EE application container containsone or more J2EE application container components, and one or more JavaEJB containers or Java web containers are contained within each J2EEapplication container. One or more J2EE components are delivered to theJ2EE application server over one or more tiers of the network. There areone or more logical connections to one or more databases located on thenetwork. The at least one J2EE application server program, the at leastone J2EE application, the at least one J2EE application container, theat least one J2EE application container component, the at least onedelivered J2EE component and the logical connection define a sphere ofcontrol managing a transactional deployment of the at least onedelivered J2EE component and an update of the database to keep the dataconsistent with the J2EE application. In accordance with the exemplarymethod of the present invention, the sphere of control achieves thesteps of: accessing the database; initiating a deployment of a latestversion of a data object to the database; determining whether thedeployment of the data object is successful; deploying at least one filecontaining a latest version of the delivered J2EE component into the atleast one J2EE application container; and determining whether the latestversion of the delivered J2EE component is successfully deployed intothe at least one J2EE application container. In addition, a previousversion or the latest version of the delivered J2EE component is storedfor rollback in case of subsequent deployment failures involving thedata object and/or the delivered J2EE component. Furthermore, theprevious version of delivered J2EE component and a previous version ofthe data object are discarded only if both the deployment of the latestversion of the data object and the deployment of the latest version ofthe delivered J2EE component into the J2EE application container aresuccessful.

[0075] An exemplary method and/or exemplary embodiment of the presentinvention provides for bridging assets over a multi-tiered network. Anasset may represent network and/or application components (e.g., data,objects, applications, program modules, etc.) that may be distributedamong the various resources of the network. Generally, communicationscan be maintained between executable assets residing on differentnetwork nodes by bridging the execution context of the two nodes. In anembodiment, a mapping layer can be generated for assets that haverun-time dependencies; the mapping layer uses a distribution system tobridge the execution context of a first environment with that of asecond environment. The asset executing in the first environment is ableto access another resource located in the second environment, eventhough the asset does not have local access to the resource in thesecond environment. A fault is detected when at least one asset deployedon a local node attempts to access at least one resource on a remotenode through an application programming interface. The fault is then behandled appropriately.

[0076] An exemplary method and/or exemplary embodiment of the presentinvention distributes an asset to a multi-tiered network node. An assetmay represent network and/or application components (e.g., data,objects, applications, program modules, etc.) that may be distributedamong the various resources of the network. In an embodiment, a pendingnotice is received from a distribution server. If the notice indicatesthat at least one asset is pending (i.e., awaiting deployment), an assetdescriptor manifest is received from the distribution server. The assetdescriptor manifest identifies at least one asset to be deployed to thenode, and includes an offset associated with the asset identifier. Theasset descriptor manifest is stored in a memory on the node. A fragment,associated with the asset, is received and stored in the memory. Theoffset associated with the asset is marked with the end of the fragment,and another fragment, beginning at the offset, is then received.Additional fragments are received, and the offset updated, until theentire asset is deployed to the node. In an alternative embodiment, theentire asset is received in the first fragment. In another embodiment,multiple assets are received in the first fragment.

[0077] The present invention provides a system and method fortranslating an asset for distribution to a multi-tiered network node. Anasset may represent network and/or application components (e.g., data,objects, applications, program modules, etc.) that may be distributedamong the various resources of the network. In an embodiment, an assethas a logic/data section and an extended environment section. Thelogic/data section defines a function of the digital asset along withthe asset's type, while the extended environment section supports thefunction of the logic/data section within at least one sourceenvironment. The asset type is determined and a process asset adapter,associated with the asset type and a target environment, is selected.The asset is then translated into a processed asset having a processedextended environment section supporting the function of the logic/datasection in the target environment.

[0078] An exemplary method and/or exemplary embodiment of the presentinvention synchronizes an asset over a multi-tiered network. An assetmay represent network and/or application components (e.g., data,objects, applications, program modules, etc.) that may be distributedamong the various resources of the network. Synchronization addressesthe restoration of asset coherency in a distributed system, i.e.bringing changes made to assets on one distributed node intoharmonization with changes made to assets on another distributed node.In an embodiment, a synchronization call having a data argument and anasset type is received, an adapter associated with the asset type isselected, and the data argument is passed to the adapter. The asset typeis determined, as well as a table associated with the asset type. Asynchronization information object is retrieved from a targetenvironment on a target node, and a synchronization asset is createdbased on the synchronization information. A connection is establishedbetween the target node and the asset's original source node, and thesynchronization asset is sent from the target node to the source node.

[0079] One embodiment of the present invention is a method fordistributing changes to digital assets across a network. The methodincludes determining an asset type of a first digital asset andcomparing the first digital asset to a prior digital asset to determineone or more deltas, the prior digital asset being a prior version of thefirst digital asset and the delta being a difference between the firstdigital asset and the prior digital asset. The method further includesevaluating the one or more of the deltas with one or more criteria todetermine if the one or more delta assets should be created, the deltaasset being a second digital asset containing the respective delta, thecriteria determined by the asset type. The method further includes thatif the delta meets the criteria, creating the delta asset, and markingthe delta asset as a first delta asset of the first digital asset. Oneembodiment of the present invention is a method of operating a computersystem for targeting one or more digital assets on a distribution serverconnected to one or more networks so that the digital assets arecompatible with one or more target nodes connected to the networks. Themethod includes examining the one or more digital assets to determine anasset type of the digital asset and, if the asset type is RelationalData (RD), retrieving one or more where clauses of the digital asset.The method further includes executing a token replacement operation onthe where clause to create a transformed where clause and running aquery on one or more tables specified in the digital asset using thetransformed where clause, the query returning one or more returnedrecords and the returned records correlating with the target node. Themethod further includes storing the returned record in the digitalasset.

[0080] An exemplary embodiment of a system for distributing at least oneinfrastructure description record (IDR) over at least one tier of anetwork according to the present invention includes at least one networkinterface that receives the infrastructure description records (IDRs)and the IDRs being enqueued on at least one incoming, transactional,persistent queue (ITPQ), at least one transactional, persistent store,and at least one transactional process that dequeues the IDR from theITPQ and accesses the IDR to create an accessed IDR, the accessed IDRbeing stored in the transactional, persistent store in the system.

[0081] An exemplary embodiment of a system that includes a transactionalunit of work (TUW) for distributing at least one infrastructuredescription record (IDR) over at least one tier of a network accordingto the present invention includes at least one incoming, transactional,persistent queue (ITPQ), at least one first transactional, persistentstore, and at least one first transactional process that stores the IDRin the first transactional, persistent store in the system, and producesthe IDR by sending the IDR from the transactional, persistent storethrough the network interface over the network.

[0082] An exemplary embodiment of a system that includes a transactionalunit of work (TUW) for distributing at least one digital asset over atleast one tier of a network according to the present invention includesat least one incoming, transactional, persistent queue (ITPQ), at leastone first transactional, persistent store, and at least one firsttransactional process that stores the digital assets in the firsttransactional, persistent store in the system, and produces the digitalasset by sending the digital asset from the transactional, persistentstore through the network interface over the network, the digital assetshaving a Logic/Data (LD) section and an Extended Environment (EE)section.

[0083] An example embodiment of a transactional unit of work chain(TCHAIN) of at least two transactional units of work (TUW) fortransactional and fault-tolerant distribution of at least oneinfrastructure description record (IDR) over at least one tier of anetwork according to the present invention includes:

[0084] a first TUW including:

[0085] at least one first incoming, transactional, persistent queue(ITPQ);

[0086] at least one first transactional, persistent stores;

[0087] at least one first network interface that consumes theinfrastructure description records (IDRs) by receiving the IDR andenqueuing the IDR on the first incoming, transactional, persistent queue(ITPQ); and

[0088] at least one first transactional process that dequeues the IDRfrom the first ITPQ, accesses the IDR to create an accessed IDR, storesthe accessed IDR in the first transactional, persistent store in thesystem, and produces the accessed IDR by sending the accessed IDR fromthe first transactional, persistent store through the first networkinterface over the network; and

[0089] a second TUW including:

[0090] at least one second incoming, transactional, persistent queue(ITPQ);

[0091] at least one second transactional, persistent store;

[0092] at least one second network interface that consumes the accessedIDR by receiving the accessed IDR from the first TUW and enqueuing theaccessed IDR on the second incoming, transactional, persistent queues(ITPQ); and

[0093] at least one second transactional process that dequeues the IDRfrom the second ITPQ, accesses the IDR to create a second accessed IDR,stores the second accessed IDR in the second transactional, persistentstore in the system, and produces the second accessed IDR by sending thesecond accessed IDR from the second transactional, persistent storethrough the second network interface over the network.

[0094] An exemplary embodiment of a transactional unit of work matrix(TMATRIX) for transactional and fault-tolerant distribution of at leastone infrastructure description record (IDR) and at least one digitalasset over at least one tier of a network according to the presentinvention includes:

[0095] a first TUW including:

[0096] at least one first incoming, transactional, persistent queue(ITPQ);

[0097] at least one first transactional, persistent store;

[0098] at least one first network interface that consumes theinfrastructure description records (IDRs) by receiving the IDR andenqueuing the IDR on the first incoming, transactional, persistentqueues (ITPQ), and consumes the digital assets by receiving the digitalassets and enqueuing the digital assets on the first incoming,transactional, persistent queues (ITPQ); and

[0099] at least one first transactional process that dequeues the IDRfrom the first ITPQ, accesses the IDR to create a first IDR, stores thefirst IDR in the first transactional, persistent store in the system,and produces the first IDR by sending the first IDR from the firsttransactional, persistent store through the first network interface overthe network, and the first transactional processes further dequeue thedigital assets from the first ITPQ, access the digital assets to createfirst digital assets, store the first digital assets in the firsttransactional, persistent store in the system, and produce the firstdigital assets by sending the first digital assets from the firsttransactional, persistent store through the first network interface overthe network; and

[0100] a second TUW including:

[0101] at least one second incoming, transactional, persistent queue(ITPQ);

[0102] at least one second transactional, persistent store;

[0103] at least one second network interface that consumes the first IDRby receiving the first IDR from the first TUW and enqueuing the firstIDR on the second incoming, transactional, persistent queues (ITPQ), andconsumes at least one of the digital assets by receiving the digitalassets and enqueuing the digital assets on the second incoming,transactional, persistent queues (ITPQ);

[0104] at least one second transactional process that dequeues the firstIDR from the second ITPQ, accesses the first IDR to create a second IDR,stores the second IDR in the second transactional, persistent store inthe system, and produces the second IDR by sending the second IDR fromthe second transactional, persistent store through the second networkinterface over the network, and the second transactional processesfurther dequeue the digital assets from the second ITPQ, access thedigital assets to create second digital assets, store the second digitalassets in the second transactional, persistent store in the system, andproduce the second digital assets by sending the second digital assetsfrom the second transactional, persistent store through the secondnetwork interface over the network;

[0105] a third TUW including:

[0106] at least one third incoming, transactional, persistent queue(ITPQ);

[0107] at least one third transactional, persistent store;

[0108] at least one third network interface that consumes the firstdigital assets by receiving the first digital assets from the first TUWand enqueuing the first digital assets on the third incoming,transactional, persistent queues (ITPQ); and

[0109] at least one third transactional process that dequeues the firstdigital assets from the third ITPQ, accesses the first digital assets tocreate third digital assets, stores the third digital assets in thethird transactional, persistent store in the system, and produces thethird digital assets by sending the third digital assets from the thirdtransactional, persistent store through the third network interface overthe network, and produces third IDRs by sending the third IDR from thethird transactional, persistent store through the third networkinterface over the network;

[0110] a fourth TUW including:

[0111] at least one fourth incoming, transactional, persistent queue(ITPQ);

[0112] at least one fourth transactional, persistent store;

[0113] at least one fourth network interface that consumes the seconddigital assets by receiving the second digital assets from the secondTUW and enqueuing the second digital assets on the fourth incoming,transactional, persistent queues (ITPQ), and that consumes third IDRs byreceiving the third IDR from the third TUW and enqueuing the third IDRon the fourth incoming, transactional, persistent queues (ITPQ),

[0114] at least one fourth transactional process that dequeues thesecond digital assets from the fourth ITPQ, accesses the second digitalassets to create fourth digital assets, stores the fourth digital assetsin the fourth transactional, persistent store in the system, andproduces the fourth digital assets by sending the fourth digital assetsfrom the fourth transactional, persistent store through the fourthnetwork interface over the network, the fourth transactional processesfurther dequeue the third IDR from the fourth ITPQ, access the third IDRto create a fourth IDR, store the fourth IDR in the fourthtransactional, persistent store in the system.

[0115] An exemplary method for distributing at least one infrastructuredescription record (IDR) over at least one tier of a network accordingto the present invention includes the steps of receiving at least one ofthe infrastructure description records (IDRs), enqueuing the IDRs on atleast one incoming, transactional, persistent queue (ITPQ), dequeuingthe IDR from the ITPQ, accessing the IDR to create an accessed IDR, andstoring the accessed IDR in a transactional, persistent store.

[0116] An exemplary embodiment of a system for distributing at least oneinfrastructure description record (IDR) over at least one tier of anetwork according to the present invention includes an arrangementconfigured to receive at least one of the infrastructure descriptionrecords (IDRs), an arrangement configured to enqueue the IDRs on atleast one incoming, transactional, persistent queue (ITPQ), anarrangement configured to dequeue the IDR from the ITPQ, an arrangementconfigured to access the IDR to create an accessed IDR, and anarrangement configured to store the accessed IDR in a transactional,persistent store.

[0117] An exemplary embodiment of a computer program product stored on amemory includes the steps of receiving at least one infrastructuredescription record (IDR), enqueuing the IDRs on at least one incoming,transactional, persistent queue (ITPQ), dequeuing the IDR from the ITPQ,accessing the IDR to create an accessed IDR, and storing the accessedIDR in a transactional, persistent store.

[0118] An object of an exemplary embodiment and/or exemplary method ofthe present invention is directed to an improved data structure fordefining digital assets.

[0119] Another object of an exemplary embodiment and/or exemplary methodof the present invention is directed to an improved data structure fordefining digital assets for packaging, distribution, deployment,execution, synchronization, and/or lifecycle management overmulti-tiered networks.

[0120] Exemplary embodiments and/or exemplary methods of the presentinventions concern a data structure, program product, and product ofmanufacture that has an extended environment (EE) data structure that ispart of a digital asset. The digital asset is transmittable over one ormore multi-tiered networks. The data structure has one or more commondescriptors to provide a unique identification of the digital asset onthe networks. There are also one or more asset dependency descriptors toidentify one or more associated digital assets. Associated digitalassets are associated with the digital asset by a joint membership asparts of a whole. The asset further has one or more target serverdependencies descriptors to identify a base execution environment on oneor more target computers. (The base execution environment is required toexecute the digital asset on the respective target computer. The baseexecution environment comprises zero or more other digital assetsdeployed to the respective target computer from one or more of theEnterprise Information Systems (EIS) or other sources.) In anotherexemplary embodiment and/or exemplary method, one or more EIS serverdependencies descriptors are included to identify an EIS executionenvironment on the respective EIS/source from which the asset resides.In still other exemplary embodiments and/or exemplary methods, otherdescriptors are included in the extended environment data structure.

[0121] An exemplary embodiment and/or exemplary method of the presentinvention is directed to an extended environment data structure that ispart of a digital asset, the digital asset being transmittable over oneor more multi-tiered networks, the data structure including: one or morecommon descriptors to provide a unique identification of the digitalasset on the multi-tiered networks; one or more base environmentdescriptors to identify a required base execution environment on one ormore target computers, the base execution environment being required toexecute the digital asset on a respective target computer, in which thebase execution environment includes zero or more other digital assetsdeployed to the respective target computer from one or more EnterpriseInformation Systems (EIS).

[0122] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the common descriptors include at least one of: adigital asset name of the digital asset, a unique fully qualified nameof the digital asset, an address of the digital asset, a size of thedigital asset, a volatility descriptor of the digital asset, a commonrunnable descriptor of the digital asset, a user type descriptor of thedigital asset, a security descriptor of the digital asset, a pricedescriptor of the digital asset, an independent deployment of thedigital asset, and a priority of the digital asset.

[0123] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the base execution environment includes at least oneof: one or more DBMS, one or more application servers, one or more Webservers, one or more JMS implementations, one or more J2EE applicationservers, one or more browsers, one or more Java Virtual Machine (JVM)instantiations, one or more operating systems, systems, sub-systems,applications, sub-applications, components, modules, and functions.

[0124] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the whole is defined by at least one of: a graph, acontainment graph, a tube graph, a call graph, a pure representationexpressible as a graph.

[0125] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to an extended environment data structurethat is part of a digital asset, the digital asset being transmittableover one or more multi-tiered networks, the data structure including:one or more common descriptors to provide a unique identification of thedigital asset on the multi-tiered networks; one or more asset dependencydescriptors to identify one or more associated digital assets, theassociated digital assets being associated with the digital asset by ajoint membership as parts of a whole; and one or more base environmentdescriptors to identify a base execution environment on one or moretarget computers, the base execution environment being required toexecute the digital asset on a respective target computer, in which thebase execution environment includes zero or more other digital assetsdeployed to the respective target computer from one or more EnterpriseInformation Systems (EIS).

[0126] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the asset dependency descriptors include at leastone of: one or more names of other digital assets on which the digitalasset is dependent, an asset identifier, and one or more unique fullyqualified names of other digital assets on which the digital asset isdependent.

[0127] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to an extended environment data structurethat is part of a digital asset, the digital asset being transmittableover one or more multi-tiered networks, the data structure including:one or more common descriptors to provide a unique identification of thedigital asset on the multi-tiered networks; one or more asset dependencydescriptors to identify one or more associated digital assets, theassociated digital assets being associated with the digital asset by ajoint membership as parts of a whole; one or more base environmentdescriptors to identify a base execution environment on one or moretarget computers, the base execution environment being required toexecute the digital asset on a respective target computer; and one ormore EIS server dependencies descriptors to identify an EIS executionenvironment on a respective EIS on which the digital asset resides.

[0128] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which one or more EIS server dependencies descriptorsidentify an EIS execution environment on a respective EIS from which thedigital asset is transformed into a neutral environment form.

[0129] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which one or more EIS server dependencies descriptorsidentify an EIS execution environment on a respective EIS from which thedigital asset is prepared for transformation into a neutral environment.

[0130] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the base execution environment includes zero or moreother digital assets deployed to a respective target computer from oneor more of the Enterprise Information Systems (EIS). Another exemplaryembodiment and/or exemplary method of the present invention is directedto the extended environment data structure, in which one or more EISserver dependencies identified by one or more of the EIS serverdependencies descriptors include at least one of: EIS operating systems,EIS database management systems (DBMS), EIS servers, EIS applicationservers, EIS web application servers, one or more general businessapplications, one or more accounting applications, customer relationshipmanagement systems (CRM), business to business (B2B) systems, supplychain management systems, business to customer (B2C) system, orderfulfillment systems, electronic shopping systems, one or more EnterpriseApplication Integration systems, one or more legacy interfaces, one ormore Java Connector Framework (JCF) connectors, one or more JCFconnectors for legacy interfaces, and message oriented middlewareapplications.

[0131] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the EIS server dependencies include at least one of:one or more DBMS products, one or more Oracle DBMS, one or more SybaseDBMS, and one or more DB2 DBMS.

[0132] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which zero or more of the base environment descriptors andzero or more of the EIS server dependencies descriptors are capable ofbeing compared independently to a neutral form to determine whether atransform of the digital asset is required for the digital asset to bedeployed on a respective target computer.

[0133] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which one or more of the environment base descriptors andone or more EIS server dependencies descriptors are capable of beingcompared to determine whether a transform of the digital asset isrequired for the digital asset to be deployed on a respective targetcomputer.

[0134] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the transform of the digital asset includes atransformation of data in a logic/data section of the digital asset.

[0135] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more reference descriptors.

[0136] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the reference descriptors include at least one of: areference link descriptor, a reference file descriptor, and a referencedirectory descriptor.

[0137] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the reference link descriptor provides aworld-wide-web (WWW) address having contents used for processing of thedigital asset.

[0138] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the reference link descriptor provides aworld-wide-web (WWW) address having contents used during execution ofthe digital asset.

[0139] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the reference file descriptor is a unique fullyqualified name of a file required for reference by the digital asset.

[0140] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the reference directory descriptor provides anadditional address information for locating one or more of theassociated digital assets.

[0141] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more transform descriptors to enablea transform of the digital asset from an EIS execution environment tothe base execution environment.

[0142] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the transform descriptor includes a propertiesdescriptor to provide information required for use of the digital asseton an operating system of the base execution environment.

[0143] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the transform descriptor includes a formatdescriptor to provide information required for use of the digital asseton an operating system of the base execution environment.

[0144] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the transform descriptor includes a registrydescriptor to provide information required for use of the digital asseton a Windows operating system on the base execution environment.

[0145] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more asset type descriptors.

[0146] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the asset type descriptors include at least one of:static content (SC), dynamic content (DC), enterprise Java beans (EJB),reference data (RD), session bean (SB), entity bean (EB), entity data(ED), Java class (JC), Java beans (JB), Java Connector Framework (JCF),and Java applet (JA).

[0147] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more asset category descriptors.

[0148] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the asset category descriptors include at least oneof: a presentational descriptor, a transactional descriptor, anintegration connector descriptor, and a relational data descriptor.

[0149] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the asset category descriptors include at least oneof: a content descriptor, a presentational component descriptor, atransactional component descriptor, an integration connector componentdescriptor, an object data descriptor, and a relational data descriptor.

[0150] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more asset class descriptors.

[0151] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the asset class descriptors include at least one of:base, Java, non-Java, language, and non-language.

[0152] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more package relationshipdescriptors representing a part-whole relationship between the digitalasset and one or more packages containing the digital asset.

[0153] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the package relationship descriptors represent atleast the following three relationships in the part-whole relationship:a mandatory part-whole relationship, a shared part-whole relationship,and a root part-whole relationship.

[0154] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more security descriptors.

[0155] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the security descriptors include at least one of thefollowing functions: encryption, authentication, authorization, andaccess control.

[0156] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more runnable descriptors.

[0157] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more of the runnable descriptorsthat include a neutral format to enable deferment of an assignment to atarget execution environment for the digital asset.

[0158] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more of the runnable descriptorsthat include a target execution environment for the digital asset.

[0159] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more of the runnable descriptorsthat include an EIS execution environment and a target executionenvironment for the digital asset.

[0160] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more non-runnable descriptors.

[0161] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more non-runnable descriptors thatinclude a description of the base execution environment for the digitalasset.

[0162] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more of the non-runnable descriptorsthat include a neutral format to enable deferment of an assignment to atarget execution environment for the digital asset.

[0163] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more non-runnable descriptors thatinclude description of the EIS execution environment and the baseexecution environment for the digital asset.

[0164] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more personalization descriptors toenable the digital asset to be customized upon delivery to one or moreof the base execution environments.

[0165] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the personalization descriptors include one or moredata keys, being derived from a directory service, to establish alinkage among data elements in the EIS execution environment.

[0166] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the directory service is one or more of thefollowing in combination or a federated hierarchy: an LDAP server,Single-Sign-On service, and/or JNDI service.

[0167] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which a linkage of data elements resolve to a DBMS queryin which one or more EIS databases are partitionable specifically forthe needs of one or more target environments.

[0168] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which a linkage of data elements resolve to one or morecontent related assets that are partitionable specifically for the needsof one or more target environments.

[0169] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which a linkage of data elements resolve to one or moreapplication related assets that are partitionable specifically for theneeds of one or more target environments.

[0170] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the application related assets include at least oneof: presentational components and transactional components. Anotherexemplary embodiment and/or exemplary method of the present invention isdirected to the extended environment data structure, in which theapplication related assets include at least one of: JSP, Java Servlet,and Java EJB.

[0171] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the personalization descriptors include one or moredata keys to establish a linkage among data elements in an EIS executionenvironment.

[0172] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the personalization descriptors include one or moredata keys to establish a linkage among logic elements in an EISexecution environment.

[0173] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more pricing descriptors.

[0174] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the pricing descriptors describe information aboutat least one of: a price, a price scheme, a subscription price scheme, apay to own price scheme, a pay to use price scheme, a one time paymentprice scheme, a payment detail, payment method, a check description, acredit card description, and a credit card number.

[0175] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more target information descriptors.

[0176] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the target information descriptors describe at leastone of: a well known user, an anonymous user, one or more user groups,an entire user group, a target machine, an identifiable segment oftarget machines a collection of target machines, an internet protocoladdress mask, and a group of target computers in a node collectionstructure.

[0177] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more schema descriptors.

[0178] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the schema descriptors provide information todescribe at least one of: database table names and definitions, databasecolumn names and definitions, database key identifiers and value ranges,database view names and definitions, and other well known databaseschema elements.

[0179] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more metadata descriptors.

[0180] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the metadata descriptors provide information todescribe any or more of: repository object definitions, scope objectdefinitions, module object definitions, operation object definitions,exception object definitions, constant object definitions, propertiesobject definitions, attribute object definitions, relationship objectdefinitions, type object definitions, and other well known metadataobject definitions.

[0181] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, further including one or more distribution logic descriptors,each having one or more transactions rules and one or more concurrencyrules.

[0182] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the transactions rules specify any of a number and afrequency of times that the digital asset is distributable to one ormore of the target computers.

[0183] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the concurrency rules specify whether there are anyrestrictions on distribution of the digital asset with respect to thedistribution of one or more other digital assets.

[0184] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the data structure is received from one or morenetwork connections.

[0185] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the data structure is sent over one or more networkconnections.

[0186] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the data structure is stored on one or morememories.

[0187] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which information in the data structure is modified at oneor more locations on one or more of the multi-tiered networks as thedigital asset is distributed over the multi-tiered networks.

[0188] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to an extended environment data structurethat is part of a digital asset, the digital asset being transmittableover one or more multi-tiered networks, the data structure including:one or more common descriptor apparatus, arrangement or structure forproviding a unique identification of the digital asset on the networks;one or more asset dependency descriptor apparatus, arrangement orstructure for identifying one or more associated digital assets, theassociated digital assets being associated with the digital asset by ajoint membership as parts of a whole; and one or more base environmentdescriptor apparatus, arrangement or structure for identifying a baseexecution environment on one or more target computers, the baseexecution environment being required to execute the digital asset on arespective target computer, in which the base execution environmentincludes zero or more other digital assets deployed to the respectivetarget computer from one or more Enterprise Information Systems (EIS).

[0189] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a computer program product having anextended environment data structure that is part of a digital asset, thedigital asset being transmittable over one or more multi-tierednetworks, the data structure including: one or more common descriptorsto provide a unique identification of the digit asset on themulti-tiered networks; one or more base environment descriptors toidentify a base execution environment on one or more target computers,the base execution environment being required to execute the digitalasset on a respective target computer, in which the base executionenvironment includes zero or more other digital assets deployed to therespective target computer from one or more Enterprise InformationSystems (EIS).

[0190] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the computer program product having theextended environment data structure, further including: one or moreasset dependency descriptors to identify one or more associated digitalassets, the associated digital assets being associated with the digitalasset by a joint membership as parts of a whole.

[0191] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a memory structure having an extendedenvironment data structure that is part of a digital asset stored on thememory structure, the digital asset being transmittable over one or moremulti-tiered networks, the data structure including: one or more commondescriptors to provide a unique identification of the digit asset on themulti-tiered networks; one or more base environment descriptors toidentify a base execution environment on one or more target computers,the base execution environment being required to execute the digitalasset on a respective target computer, in which the base executionenvironment includes zero or more other digital assets deployed to therespective target computer from one or more Enterprise InformationSystems (EIS).

[0192] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the memory structure having an extendedenvironment data structure, further including: one or more assetdependency descriptors to identify one or more associated digitalassets, the associated digital assets being associated with the digitalasset by a joint membership as parts of a whole.

[0193] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the extended environment datastructure, in which the transform of the digital asset includes atransformation of data in a logic/data section of the digital asset.

[0194] An object of an exemplary embodiment and/or exemplary method ofthe present invention is directed to providing an improved system andmethod for discovering and/or identifying and extracting digital assetsfrom an EIS or other sources so that EIS/source systems, sub systems,applications, sub applications, components, modules, or functions,and/or objects can be packaged, distributed, deployed, executed,synchronized, and/or managed through a lifecycle in a distributedmanner.

[0195] Another object of an exemplary embodiment and/or exemplary methodof the present invention is directed to providing an improved system andmethod for discovering and/or identifying, extracting, packaging,distributing, deploying, and/or exporting, web applications, components,modules or functions and/or objects over the Internet.

[0196] Another object of an exemplary embodiment and/or exemplary methodof the present invention is directed to providing an improved system andmethod for discovering and/or identifying types of digital assets thatare extracted from one or more EISs and identifying those digital assetsaccording to their respective type so that the digital asset can beexported, e.g., in packages, from the EIS as a means of distribution,deployment, and/or execution over tiers of the network.

[0197] Exemplary embodiments and/or exemplary methods of the presentinventions concern a system, method, article of manufacture, and acomputer program product that identifies (discovers) member objects ofone or more computer system parts in an Enterprise Information System(EIS) or other sources while establishing at least one relationship(e.g., topographical) among the member objects. This involves traversingone or more computer file systems of the EIS/source to find one or moreof the member objects. For each member object found, a digital assetidentifier of the found member object is placed in an intermediaterepresentation. The intermediate representation is a graph with nodesand edges. Each of the digital asset identifiers corresponds to one ofthe nodes of the graph. The edges represent the relationship. A digitalasset is created from the member object by placing the member object ina logic/data section of the digital asset and attaching an extendedenvironment data structure to the logic/data section. The digital assetis stored in an asset inventory container object. This may be repeatedfor each found member object until the intermediate representation fullydescribes the computer system part and the asset inventory containerobject is a complete inventory of the digital assets of interest in thecomputer system part. Additional structures describing attributes of thedigital asset created can also be constructed. Further, the descriptiveinformation related to the digital asset may be placed in the respectiveextended environment data structure.

[0198] An exemplary embodiment and/or exemplary method of the presentinvention is directed to a discovery method for identifying memberobjects of one or more computer system parts in an EnterpriseInformation System (EIS) and for establishing at least one topographicalrelationship among the member objects, the discovery method beingexecutable by one or more computers, each of the computers having one ormore memories and one or more central processing units (CPU), the methodincluding the steps of: (a) traversing one or more computer file systemsof the EIS to find one or more of the member objects, the member objectsmeeting one or more selection criteria; (b) for each member objectfound, placing a digital asset identifier of the member object in anintermediate representation, the intermediate representation being agraph with nodes and edges, each of the digital asset identifierscorresponding to one of the nodes of the graph, the edges representingthe topographical relationship; (c) creating a digital asset from themember object by placing the member object in a logic/data section ofthe digital asset and attaching an extended environment data structureto the logic/data section; (d) storing the digital asset in an assetinventory container object; and (e) repeating steps (a) through (d)until the intermediate representation sufficiently describes thecomputer system part, in which the asset inventory container object is asufficiently complete inventory of the digital assets of the computersystem part that meet the selection criteria.

[0199] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, further includingthe inserted step (dl) of creating an entry in an asset definition datastructure, the entry having descriptions of one or more digital assetattributes of the digital asset, the asset definition data structurebeing a complete list of the digital assets of the computer system partthat meet the selection criteria.

[0200] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thecomputer system parts include at least one of the following: a computersystem, a computer sub-system, an application, a sub-application, amodule, and a function.

[0201] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, further includingthe step of storing one or more descriptors in the extended environmentdata structure after the extended environment data structure is createdin step c.

[0202] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thedescriptors include one or more common descriptors to provide a uniqueidentification of the digital asset on the multi-tiered networks.

[0203] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thecommon descriptor includes at least one of: a digital asset name of thedigital asset, a unique fully qualified name of the digital asset, anaddress of the digital asset, a unique hash value for the digital asset,a checksum for the digital asset, and a size of the digital asset.

[0204] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thedescriptors include one or more asset dependency descriptors.

[0205] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theasset dependency descriptors include any at least one of: at least onenames of other digital assets on which the digital asset is dependent,an asset identifier, and one or more unique fully qualified names ofother digital assets on which the digital asset is dependent.

[0206] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thedescriptors include one or more reference descriptors.

[0207] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thereference descriptors include at least one of: a reference linkdescriptor, a reference file descriptor, and a reference directorydescriptor.

[0208] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thereference link descriptor provides a world-wide-web (WWW) address havingcontents used for processing of the digital asset.

[0209] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thereference link descriptor provides a world-wide-web (WWW) address havingcontents used during execution of the digital asset.

[0210] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thereference directory descriptor provides an additional addressinformation for locating one or more of the associated digital assets.

[0211] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thereference file descriptor is a unique fully qualified name of a filerequired for reference by the digital asset.

[0212] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thedescriptors include one or more runnable descriptors for indicating thatthe digital asset is a runnable digital asset.

[0213] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the runnable descriptors include a description of a neutralexecution environment, enabling dynamic targeting of the digital assetfor one or more target environments.

[0214] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the runnable descriptors include a description of an EISexecution environment.

[0215] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thedescriptors include one or more non-runnable descriptors for indicatingthat the digital asset is a non-runnable digital asset.

[0216] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the non-runnable descriptors include a description of an EISexecution environment.

[0217] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the non-runnable descriptors include a description of a neutralexecution environment, enabling the dynamic targeting of the digitalasset for one or more target environments.

[0218] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theasset definition data structure includes at least one of: an assetidentification, an asset location, a URL, a name, an asset type, and aversion.

[0219] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a discovery system for identifying oneor more member objects of one or more computer system parts of anEnterprise Information System (EIS) and for establishing at least onetopographical relationship among the member objects, the systemincluding: a traverser to traverse one or more computer file systems tofind one or more of the member objects, the member objects meeting oneor more selection criteria; an intermediate representation builder toplace, for each member object found by the traverser, a digital assetidentifier in an intermediate representation, the intermediaterepresentation being a graph with nodes and edges, the digital assetidentifier corresponding to one of the nodes of the graph, the edgesrepresenting the topographical relationship; a digital asset creator tocreate a digital asset from the member object by placing the data objectin a logic/data section of the digital asset and attaching an extendedenvironment data structure to the logic/data section; and an inventoryfunction to store the digital asset in an asset inventory containerobject.

[0220] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a discovery system for identifyingmember objects of one or more computer system parts of an EnterpriseInformation System (EIS) and for establishing at least one topographicalrelationship among the member objects, the system including: anapparatus, arrangement or structure for traversing one or more computerfile systems to find one or more of the member objects, the memberobjects meeting one or more selection criteria; an apparatus,arrangement or structure for placing a digital asset identifier in anintermediate representation for each member object found, theintermediate representation being a graph with nodes and edges, thedigital asset identifier corresponding to one of the nodes of the graph,the edges representing the topographical relationship; an apparatus,arrangement or structure for creating a digital asset from the memberobject by placing the member object in a logic/data section of thedigital asset and attaching an extended environment data structure tothe logic/data section; and an apparatus, arrangement or structure forstoring the digital asset in an asset inventory container object.

[0221] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a computer program product having acomputer program for performing the steps of: (a) traversing one or morecomputer file systems to find one or more of the member objects, themember objects meeting one or more selection criteria; (b) for eachmember object found, placing a digital asset identifier of therespective member object in an intermediate representation, theintermediate representation being a graph with nodes and edges, thedigital asset identifier corresponding to one of the nodes of the graph,the edges representing the topographical relationship; (c) creating adigital asset from the data object by placing the member object in alogic/data section of the digital asset and attaching an extendedenvironment data structure to the logic/data section; and (d) storingthe digital asset in an asset inventory container object.

[0222] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a computer memory storing a computerprogram for performing the steps of: (a) traversing one or more computerfile systems to find one or more of the member objects, the memberobjects meeting one or more selection criteria; (b) for each memberobject found, placing a digital asset identifier of the member object inan intermediate representation, the intermediate representation being agraph with nodes and edges, the digital asset identifier correspondingto one of the nodes of the graph, the edges representing thetopographical relationship; (c) creating a digital asset from the memberobject by placing the member object in a logic/data section of thedigital asset and attaching an extended environment data structure tothe logic/data section; and (d) storing the digital asset in an assetinventory container object.

[0223] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a discovery method executable by acomputer with one or more memories and one or more central processingunits (CPUs), the method including the steps of: (a) determining astarting point in a sub part of one or more application programs, thesub part of the application program having a path of execution; (b)determining one or more edges of the path of execution and one or moreelements of the sub part of the application program, each of theelements connected by at least one of the edges; (c) placing theelements in an asset candidate list; (d) classifying one or more of theelements in the asset candidate list according to an asset type; and (e)determining one or more of the elements in the asset candidate list thatis to be included in an asset package.

[0224] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which the pathof execution is at least one of: a call graph, an execution call graph,a dependency tree, a set of one or more hyperlinks, an expressed callgraph, and an implied call graph.

[0225] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theedges are identified as at least one of: a hyperlink, a method call, aprogram call, a sub routine call, a program name in an execution list,and a call to an external program.

[0226] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which the subpart is an entire application program.

[0227] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theapplication program is in a form of at least one of: Perl, PHP, Java,Microsoft C##, C++, ASP, Visual Basic, Delphi, Fortran, a web page, anda Java Server Page (JSP).

[0228] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theedges are determinable by a text search of the part of the applicationprogram.

[0229] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theedges are determinable by a text search of the part of a reverseengineered application program.

[0230] Yet another exemplary embodiment and/or exemplary method of thepresent invention is directed to a discovery method executable by acomputer with one or more memories and one or more central processingunits (CPUs), the method including the steps of: (a) determining a toplevel page in a set of web pages, the set of web pages related to oneanother by a path of execution; (b) determining one or more hyperlinksas edges of the path of execution and one or more elements of the subpart of the application program, each of the elements connected by atleast one of the hyperlinks; (c) placing the elements in an assetcandidate list; (d) classifying one or more of the elements in the assetcandidate list according to an asset type; and (e) determining one ormore of the elements in the asset candidate list that is to be includedin an asset package.

[0231] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thetop-level page is a Java Server Page (JSP).

[0232] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thetop-level page includes at least one of: HTML and Java source code.

[0233] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which thehyperlinks are identified by a text search of the top-level page.

[0234] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theelements are java objects that the top-level page will instantiate.

[0235] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theasset types are determined by which classes of java objects are loadedby a servlet and the classes are mapped by a Java Servlet specification.

[0236] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the elements has a static HTML asset type.

[0237] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which staticHTML text of the static HTML asset type has one or more image tags andan additional element is created in the asset candidate list for one ormore of the image tags.

[0238] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theimage tag includes at least one of: IMG and A.

[0239] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the elements has an asset type of a java class file (JC).

[0240] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, further includingthe step of: generating an external call graph for the JC, the externalcall graph for the JC being a list of method calls made within a classrepresentation of the JC.

[0241] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theexternal call graph for the JC is generated by at least one of: bytecode examination and de-compilation technology.

[0242] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the method calls of the external call graph for the JC createsan element in the asset candidate list.

[0243] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the elements has a JAR file asset type.

[0244] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which the JARfile has at least one of the following file extensions: “JAR”, “WAR”,and “EAR”.

[0245] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, further includingthe step of generating an external call graph for each java class in theJAR file, the external call graphs for the java classes in the JAR filebeing a list of JAR method calls made within a class representation ofthe JAR file.

[0246] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which theexternal call graph for the JAR file is generated by at least one of:byte code examination and de-compilation technology.

[0247] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, in which one ormore of the elements has an EJB asset type.

[0248] Another exemplary embodiment and/or exemplary method of thepresent invention is directed to the discovery method, further includingthe steps of: (f) matching a method signature against an interface ofone or more of the EJB asset types; and (g) adding an EJB digital assetto the asset candidate list if there is no match.

BRIEF DESCRIPTION OF THE DRAWINGS

[0249] FIGS. 1A-1E, are block diagrams illustrating various prior artmiddleware systems.

[0250]FIG. 1F is a diagram showing a prior art hierarchical relationshipamong system and application parts.

[0251]FIG. 1G is a diagram illustrating the conceptual association ofone or more system parts to one or more target nodes (e.g., nodes,clients, and other targets) using an engagement table.

[0252]FIG. 1H is a block diagram illustrating an engagement tableaccording to one embodiment of the present invention.

[0253]FIG. 2 is a block diagram depicting a conceptual structure of anasset according to one embodiment of the present invention.

[0254]FIG. 2A shows a preferred description of an asset lifecycle 240L.

[0255]FIG. 2B is a block diagram of a preferred extended environment(EE) 220 of any general digital asset 240.

[0256]FIG. 5 is a Unified Modeling Language (“UML”) diagram of an assetclass object according to one embodiment of the present invention.

[0257]FIG. 6 is a block diagram of a package data structure (i.e., apackage structure) showing the assets associated with a packageaccording to one embodiment of the present invention.

[0258]FIG. 7 is a block diagram illustrating an asset definition datastructure according to one embodiment of the present invention.

[0259]FIG. 8 is a block diagram illustrating a deployable asset datastructure according to one embodiment of the present invention.

[0260]FIG. 9 is a block diagram illustrating a target asset datastructure according to one embodiment of the present invention.

[0261]FIG. 10 is a block diagram illustrating a target deployment queuedata structure according to one embodiment of the present invention.

[0262]FIG. 11 is a block diagram illustrating a physical networkarchitecture of a system according to one embodiment of the presentinvention.

[0263]FIG. 12 is a block diagram illustrating a logical networkarchitecture of a system according to one embodiment of the presentinvention.

[0264]FIG. 13 is a block diagram of a data structure showing a pluralityof packages according to one embodiment of the present invention.

[0265]FIG. 14 is a block diagram illustrating a package definition datastructure according to one embodiment of the present invention.

[0266]FIG. 15A is a block diagram illustrating an alternative packagedata structure with an Extended Environment for Packages (“EEP”)according to one embodiment of the present invention.

[0267]FIG. 15B is a UML diagram showing the transitive part-wholeassociations between certain digital assets and certain packagesaccording to one embodiment of the present invention.

[0268]FIG. 15C is a flowchart of a package specification processaccording to one embodiment of the present invention.

[0269]FIG. 15D is a block diagram of a packaging queue according to oneembodiment of the present invention.

[0270]FIG. 15E is a flowchart of an asset packaging process according toone embodiment of the present invention.

[0271]FIG. 15F is a flowchart of a client deployment process (“CDP”)according to one embodiment of the present invention.

[0272]FIG. 15G is block diagram illustrating a client asset tableaccording to one embodiment of the present invention.

[0273]FIG. 15H is a block diagram illustrating the asset descriptormanifest data structure according to one embodiment of the presentinvention.

[0274]FIG. 15I is a flowchart of the node registration process (NRP)according to one embodiment of the present invention.

[0275]FIG. 15J is a block diagram of a node registration specificationdata structure according to one embodiment of the present invention.

[0276]FIG. 16 is a flowchart of the EIS export asset adapterprocess/method (EAM) according to one embodiment of the presentinvention.

[0277]FIG. 16A is a flowchart of the version asset adapterprocess/method (VAM) according to one embodiment of the presentinvention.

[0278]FIG. 16B is a flowchart of an alternative preferred EIS exportadapter process according to one embodiment of the present invention.

[0279]FIG. 17 is the flowchart of the client deployment asset adapter(DAM) method/process according to one embodiment of the presentinvention.

[0280]FIG. 17A is a block diagram of one preferred J2EE transactionaldeployment sphere of control according to one embodiment of the presentinvention.

[0281]FIG. 17B is a flowchart of the implementation process of onepreferred J2EE transactional deployment within the sphere of controlaccording to one embodiment of the present invention.

[0282]FIG. 18 is the flowchart of the CDS/ADS process asset adaptermethod/process (PAM) according to one embodiment of the presentinvention.

[0283]FIG. 19 is a flowchart of the CDS/ADS target asset adapter method(TAM) according to one embodiment of the present invention.

[0284]FIG. 20 is a flowchart of the synchronize asset adapter method(SAM) according to one embodiment of the present invention.

[0285]FIG. 21 is a flowchart of the EIS discovery asset adaptermethod/process (DAM) according to one embodiment of the presentinvention.

[0286]FIG. 21A is a flowchart of the EIS adjustment asset adaptermethod/process (AAM) according to one embodiment of the presentinvention.

[0287]FIG. 21B is a flowchart of an alternative preferred discoveryasset adapter process according to one embodiment of the presentinvention.

[0288]FIG. 21C is a diagram of a prior art graph structure, specificallya containment graph structure, used to establish membershiprelationships of digital assets according to one embodiment of thepresent invention.

[0289]FIG. 21D is a block diagram of a preferred asset inventoryaccording to one embodiment of the present invention.

[0290]FIG. 22 is a flowchart of a publishing agent method according toone embodiment of the present invention.

[0291]FIG. 23 is a flowchart of a subscriber agent (SA) method accordingto one embodiment of the present invention.

[0292]FIG. 24 is a flowchart of a computational agent method accordingto one embodiment of the present invention.

[0293]FIG. 25 is a flowchart of a caching agent method according to oneembodiment of the present invention.

[0294]FIG. 26 is a flowchart of an asset distribution process accordingto one embodiment of the present invention.

[0295]FIG. 27 is a flowchart of a streaming process according to oneembodiment of the present invention.

[0296]FIG. 28 presents the Bridged Computational Environment (BCE)capability of the DIS technology according to one embodiment of thepresent invention.

[0297]FIG. 29 describes the capability of the DIS to assign, measure,enforce, and report Quality of Service (QoS) functionality throughoutthe DIS system according to one embodiment of the present invention.

[0298]FIG. 31 is a block diagram of a general system according to oneembodiment of the present invention being used in various businesssituations.

DETAILED DESCRIPTION

[0299] In an example embodiment of the present invention, asubapplication (hereinafter also referred to as a “package”) of a largerparent application, such as, for example, an Enterprise InformationSystem (“EIS”), may be distributed and/or transformed over two or moretiers (discussed below) of a communications network. According to thisembodiment, after the distribution and/or transformation of the package,the package may be distributed, cached, and/or executed on one or moretarget computer nodes. As discussed below, a computer node may betargeted by computer and/or other related hardware, the softwareenvironment, and/or platform (e.g., computer and/or network operatingsystem).

[0300] The example embodiment of the present invention may organize allor part of an application into one or more packages because packages maybe more easily and rapidly distributed over a communications networkthan the entire application from which the package originates. Packagedistribution over a communications network, according to the exampleembodiment, may use fewer network resources and may use those resourcesmore efficiently.

[0301] Additionally, the size and/or proprietary nature of anapplication may limit its distribution and/or execution on a targetcomputer node (also referred to as a target node). In the exampleembodiment of the present invention, essential (i.e., relevant) and/ornon-proprietary part(s) of an application (e.g., an EIS) may bedistributed over a communications network and executed on one or moretarget odes. According this embodiment, these distributed packages mayexecute under a more desirable client-specific environment closer to oron the end destination computer node.

[0302] In a one embodiment, the relevant system parts (i.e., packages)are distributed so that they are physically closer to the intendedtarget(s) (i.e., target nodes and clients). Since only the packages aredistributed close to the target(s), less storage is need at, or near,the target as compared to the case where the entire system (e.g., anEIS) is distributed. Distributing only the essential portions of thesystem required by the target and placing those essential portions incloser physical proximity to the target results in a faster and morereliable execution at the target. This is because network errors anddelays are reduced because much less of the network is used during theexecution of the packages on the target.

[0303] A benefit of distributing these packages is that the integrity(i.e., the security, transactions, and coherence) of the sourceenvironment (e.g., EIS) may be maintained at one or more of the targets(e.g., target nodes and/or clients) while the original package (i.e.,subapplication or system part) remains on the source (EIS). Therefore,the infrastructure to maintain the packages can be reduced by locatingthe distributed packages at one or more of the clients since more of theclient resources are used to support the source resources allowing theresources of the source to be used more efficiently.

[0304] In one embodiment of the present invention, a package may betransformed in order to operate on a target computer node. A targetcomputer node may consist of a hardware and softwareenvironment/platform different from the environment/platform for whichthe application is designed and/or programmed. For example, if anapplication is designed and/or programmed to execute on Sun®'s Solaris™operating environment running IBM®'s DB2™ database software and usingthe BEA WebLogic Server™, a package (i.e., subapplication) of theapplication maybe transformed to run on Microsoft®'s Windows NT™operating system running Hypersonic SQL™ database software using theJBoss™ Web application server and Apache's Jakarta Tomcat™ software. Inanother example, an application designed and/or programmed to execute onthe HP-UX operating environment running Oracle®'s database softwareusing Netscape Enterprise Server software may be partitioned into apackage transformed for a computer node using the Macintosh operatingsystem (“MacOS”) running W3C®'s Jigsaw Web server platform usingMicrosoft®'s FoxBASE+™ database software. These examples illustrate thetransformation of a package from the original applicationenvironment/platform to the suitable environment/platform for the targetcomputer node to which the package will be distributed according to oneembodiment of the present invention.

[0305]FIG. 1G is a diagram illustrating the conceptual association ofone or more system parts to one or more target nodes (e.g., nodes,clients, and other targets) using an engagement table. The associationof a system part 100G with a target node 150G in an engagement table mayfacilitate the distribution of that system part 100G to the properdestination-the target node 150G. This association, also described as an“engagement”, can take many embodiments. In its most simple embodiment,one system part 100G is engaged to one target node 150G (e.g., acomputing device). In another embodiment, one system part 100G isengaged to more than one target node 150G. In another embodiment, manysystem parts 100G are engaged to one target node 150G. In anotherembodiment, many system parts 100G are engaged to many target computingdevices 150G.

[0306] In an alternative embodiment, one or more target nodes (e.g.,target computing devices) may be identified, addressed, and/or organizedinto classes. Such classes may reflect geographic, logical, businesscategory-based, and/or any other general class relationships. Theseclasses may contain subclasses in a hierarchical relationship. Thetarget nodes 110G in these classes may be engaged together to one ormore system parts 100G.

[0307] In an alternative embodiment, one or more system parts 100G canbe identified, addressed, and/or organized into classes. Such classescan reflect technical requirement, business purpose, or any othergeneral class relationships. These classes may contain subclasses in ahierarchical relationship. The system parts 100G in these classes may beengaged together to one or more target computing devices 150G.

[0308] In the example embodiment, these engagements are achieved throughuse of an engagement table data structure.

[0309]FIG. 1H is a block diagram illustrating an engagement tableaccording to one embodiment of the present invention. The engagementtable 100H may contain a plurality of system part 120H to target node130H pairs called engagement pairs 110H. Each engagement pair 110H mayrepresent a relationship between one system part and one target node(e.g., computing device). One to many relationships may be defined usingmultiple engagement pairs 110H. Each engagement pair may contain aunique part identifier 120H of the system part. For example, a partidentifier 120H include system name, subsystem name, application name,component name, module name, function name, a fully qualified address,and any other identifier capable of uniquely identifying the respectivesystem part on the network. Each engagement pair may also contain atarget identifier 130H of the target node. For example, a targetidentifier 130H may include a target ID, a client ID, an internetprotocol address (IP address), a network name address, node ID, and/orany other identifier capable of uniquely identifying the respectivetarget node on the network.

[0310] In the example embodiment of the present invention, a package maybe a portion of an application partitioned according to some packageboundary. This package boundary may be defined according to, forexample, an Application Programming Interface (“API”), an applicationcomponent boundary, an Internet protocol boundary, and/or any otherlogical program/software division in the parent application (e.g., anedge of an application program call graph).

[0311] According to one embodiment of the present invention, a packageboundary may be defined according to at least one of an open API, aproprietary API made available to a user/developer, or some otherextension framework. For example, a TCP/IP standard library, a C/C++library, a CORBA library, Java Servlets, Java Server Pages (“JSP”),Enterprise Java Beans™ (“EJB”), Java DataBase Connectivity (“JDBC”),Java Messaging Service (“JMS”), Hypertext Markup Language (“HTML”),HyperText Transfer Protocol (“HTTP”), and Wireless Markup Language(“WML”) may all be examples of an open API that may serve as part or allof a package boundary according to one embodiment of the presentinvention. A Java 2 Platform Enterprise Edition (“J2EE”), a MicrosoftFoundation Class (“MFC”), a Component Object Model (“COM”), aDistributed Component Object Model (“DCOM”), an Oracle Call Interface(“OCI”), an Oracle Pro*C library, and an Informix ESQL C library may allbe examples a proprietary API that may serve as part or all of a packageboundary according to one embodiment of the present invention. Examplesof an extension framework that may serve as part or all of a packageboundary according to one embodiment of the present invention mayinclude a Unix shell script, a Windows batch file, an IBM CustomerInformation Control System (“CICS”) transaction processing program, anIBM Job Control Language (“JCL”) file, a Visual Basic script, and aVisual Basic program and/or procedure.

[0312] An asset may be a logical organization of information (e.g.,software and data) that may serve as all or part of a package accordingto one embodiment of the present invention. A package structure may becomposed of one or more assets (further described below) and a packageboundary may be defined according to the boundaries of these componentassets according to one embodiment of the present invention. An assetboundary, like a package boundary, may be defined according to, forexample, an open API, a proprietary API, an extension framework, anapplication component boundary, an Internet protocol boundary, a logicalprogram/software division in the application, and an edge of anapplication program call graph for the given application according to anexample embodiment of the present invention.

[0313] According to one embodiment of the present invention, variouskinds of assets may be used in a package. For example, as describedbelow, static content assets, dynamic content assets, Enterprise JavaBeans™ assets, relational data assets (including reference data assetsand entity data assets), Java class assets, and Non-Java assets are allpossible types of assets that may be used according to one embodiment ofthe present invention.

[0314] A static content (“SC”) asset may include information thatremains constant over time according to one embodiment of the presentinvention. For example, an SC asset may include a distinct file that maybe transferred from an HTTP server (e.g., a Web server) to an HTTPclient (e.g., a Web browser) according to one embodiment of the presentinvention. According to this example, the asset boundary of the staticcontent asset may be the HTTP protocols necessary to move the SC assetfrom the HTTP server to the HTTP client. These boundaries may define anasset as a SC asset. According to one embodiment of the presentinvention, an SC asset may include, for example, an HTML file for a Webpage, an image (e.g., a JPEG image), a movie, an animation, and/or anaudio file (e.g., an MP3 file).

[0315] A dynamic content (“DC”) asset may include information thatchanges over time according to one embodiment of the present invention.For example, a DC asset may include a Java servlet and/or a Java ServerPage (“JSP”). A Java servlet may be a single class file that may producean HTML response to an HTTP request. The asset boundaries of a Javaservlet may be the boundaries defined by the Java Servlet API for theservlet components such as, for example, the class (i.e., the classfile), the Java servlet code, and deployment descriptor information. AJSP may be an extensible Markup Language (“XML”) file compiled atruntime into a servlet according to one embodiment of the presentinvention. Therefore, the asset boundary of a JSP may also be defined bythe Java Servlet API and/or the JSP specification. According to the oneembodiment of the present invention, a DC asset may include, forexample, a JSP, a Java servlet, a Microsoft Active Server Page (“ASP”),deployment descriptor information (e.g., optional information that maybe associated with a JSP and/or Java servlet), PHP (HypertextPreprocessor), a Common Gateway Interface (“CGI”) program/script, and/ora Cold Fusion program.

[0316] An Enterprise Java Bean™ (“EJB”) asset may include a Java beansuch as a Session Bean (“SB”) and an Entity Bean (“EB”) according to oneembodiment of the present invention. The asset boundaries of an EJBasset may be the boundaries defined by the EJB specification. The EJBspecification describes home class files (e.g., skeletons), remote classfiles (e.g., stubs), and implementation class files which may associatedwith each other and incorporated in an EJB. The EJB specification alsodescribes deployment descriptor information associated with these classfiles. The deployment descriptor information may also be included in anEJB. An EJB may be used, for example, as part of or in support of thebusiness logic in a work flow system; a pricing algorithm; an inventorymanagement system; a purchasing system; dynamic customer, inventory,and/or pricing data; and/or other e-business systems according to oneembodiment of the present invention.

[0317] A relational data asset may include relational database relatedinformation such as a reference data (“RD”) asset and an entity data(“ED”) asset according to one embodiment of the present invention.According to this embodiment, the data in a relational data asset maycontain a complete set or a subset of the data in one or more tables ofa relational database at some given time. This relational data may beobtained through a database query such as, for example, an SQL query. Arelational data asset may include data relating to inventory, pricing,product, customer, weather, raw materials, employees, other businessdata, and/or other personal data according to one embodiment of thepresent invention.

[0318] A Java Class (“JC”) asset may include a Java class according toone embodiment of the present invention. The asset boundaries of a JCasset may be the boundaries defined by the Java class creator accordingto the Java specification. A JC asset may be used for any purposepermitted by the Java specification according to one embodiment of thepresent invention.

[0319] A Non-Java (“NJ”) asset may include non-Java based software codesuch as, for example, a program, procedure, subprogram, and/or script,according to one embodiment of the present invention. The assetboundaries of an NJ asset may be determined by the control paths (e.g.,edges) of the call graph for the software code (e.g., a program).According to one embodiment, an NJ asset may include software code(e.g., a program, subprogram, procedure, and/or script) written, forexample, using the C, C++, Smalltalk, Visual Basic, Perl, and/or otherprogramming language.

[0320] Assets may be categorized by their purpose according to oneembodiment of the present invention. For example, an asset that is usedto present information to a user (e.g., display or print information ata targeted destination computer) may be categorized as a presentationcomponent asset. The presentation component asset category may includeDC, EJB, EB, and SB assets according to one embodiment of the presentinvention. In another example, an asset that operates on information tocause some change to the information may be categorized as a transactioncomponent asset. The transaction component asset category may includeDC, EJB, EB, and SB assets when they are used for transaction purposesaccording to one embodiment of the present invention. In a thirdexample, an asset that contains and/or manages data (e.g., data from adatabase) may be categorized as a relational data asset. The relationaldata asset category may include RD and ED assets according to oneembodiment of the present invention. Other asset categories may exist inother embodiments of the present invention.

[0321] A package may or may not be capable of a complete executionwithout the rest of the application. After distribution, the package mayexecute on its own, may execute on its own and exchange information withthe rest of the application or other packages, or may execute inconjunction with the application (or other packages of the application)that are executing at different locations (e.g., different sources,targets, middleware servers, proxy servers, etc.) on the network, i.e.in a distributed execution over the network.

[0322] A package may be categorized by type and/or a set of typesaccording to one embodiment of the present invention. A package mayinclude one or more assets and a package may have a package type definedby the type or types of the package's component assets. An asset type isan identifier of an asset, typically determined by a boundary of theasset, as described above. The asset type of the asset may alsodetermine what information (e.g. extended environment) that the asset,and hence the package, need to execute on any given remote targetenvironment. A package specification includes a description of thepackage structure, including the package type(s).

[0323] One novel feature of this disclosure is that packages arestructures containing one or more assets each of a particular assettype. In a one embodiment, a package may contain data assets with one ormore data asset types (e.g., a relational database asset type) alongwith one or more other assets that are not of a data asset type. In analternative embodiment, a package may contain one or more dynamiccontent (DC) assets, with one or more assets that are not dynamiccontent (DC) assets. In other embodiments, assets of different assettypes may be included in the same package. For example, an asset in thepresentation component category (e.g., a DC asset) or a relational datacategory (e.g., a reference data asset) could be included with an assetnot in those respective categories. In another example, a package mayinclude static content assets and presentation component assets.According to the example embodiment of the present invention, a package,even with assets of dissimilar (category) asset types, may bedistributed across a network and execute and/or function on any giventarget that contains a base environment suitable for the package.

[0324]FIG. 2 is a block diagram depicting a conceptual structure of anasset according to one embodiment of the present invention. FIG. 2depicts an asset 200 along with a Base Environment (“BE”) layer 240 withwhich the asset 200 interacts according to one embodiment of the presentinvention. In the example embodiment, an asset 200 may include twolayers: a logic/data layer (“LD”) 210 and an extended environment (“EE”)layer 220. According to the example embodiment, an optioal AssetInterface (“AI”) layer 230 (discussed below) may also be included for anasset. In one embodiment, the asset type may determine what the minimumrequirements are for the EE layer 220 so that the asset 200 can properlyfunction on any given BE 250 of any given target. In alternativeembodiments (as described below) the EE 220 is a data structurecontaining descriptors and/or other information required during one ormore steps in the life cycle of the asset.

[0325] [1] The logic/data layer 210 may include software code (e.g., thealgorithmic logic) and/or data that embodies the asset purpose orfunction. In one embodiment, the LD layer 210 may include subsystems,applications, subapplications, components, modules, functions,variables, and data in any language. In another embodiment, the LD layer210 may use an object-oriented language that may include a components, amodule, a function, a class, a method, and a data member. In anotherembodiment, where the object-oriented language is Java language based,the LD layer 210 may include a Java Archive File (“JAR”), a Javapackage, and a Java class. In another embodiment, where theobject-oriented language is Java 2 Platform Enterprise Edition (“J2EE”)based, the LD layer 210 may further include a JSP, a Java servlet, andan EJB. LD layer 210 data may include any type of data structureincluding that data stored in a relational database, an object-orienteddatabase, serialized objects, hierarchical database, and/or flat file.The LD layer 210 may be any combination of logic (e.g., software) anddata such as, for example, logic and no data, logic and data, or dataand no logic. In the example embodiment, the LD layer 210 may be asubset of one or more EIS.

[0326] In one embodiment, the EE layer 220 may be a subset of anapplication, such as an EIS, and may include those portions of theapplication that may be necessary to support the LD layer 210 of anasset 200. According to this embodiment, the content of the EE layer 220for an asset 200 may depend on the content of the LD layer 210 for thatasset 200. For example, if the LD layer 210 contains an EJB, thecorresponding EE layer 220 may contain the proxy skeletons and stubs,J2EE deployment descriptors, DataSource references, and JNDI entriesassociated with the EJB. In another example, if the LD layer 210contains data, the EE layer 220 may contain relational database data.

[0327] The EE layer 220, by supporting the LD layer 210, may also enablethe LD layer 210 to operate on different hardware, software, and/orenvironment (collectively “environment”) according to the exampleembodiment. For example, the EE layer 220 may include a sufficientamount of the application (e.g., the EIS) to allow the LD layer 210 tooperate in a target environment.

[0328] Where differences exist between a source and target environment,the EE layer 220 may be transformed in order for the asset 200 tooperate appropriately in the target environment according to oneembodiment of the present invention. In another embodiment, the EE layer220 may be transformed into an intermediate “neutral” format that is notspecifically tailored to a source and/or target environment. Thisintermediate neutral format of the EE layer 220 may facilitate furthertransformation of the EE layer 220 for a target environment.

[0329] The intermediate neutral format may be an intermediatetransformation of the EE layer 220 between a proprietary source formatand a proprietary target format according to one embodiment. Forexample, an EJB asset 200 may be in an intermediate neutral format whenthe EE layer 220 of the asset 200 has neither the proprietary parts ofthe source environment nor the proprietary parts of the targetenvironment. For instance, J2EE deployment descriptors may haveproprietary sections that may be vendor specific and they may alsoinclude other nonproprietary (e.g., publicly defined) sections as well.In an intermediate neutral format, the EE layer 220 may containnonproprietary information associated with the J2EE deploymentdescriptors that is used in the transformation of the EE layer 220.

[0330] According to another embodiment of the present invention, the EElayer 220 may include a data structure containing one or moredescriptors that may be used during one or more steps of the asset lifecycle discussed below.

[0331] In one embodiment, a distinct EE layer 220 may be associated witheach unique BE layer 240.

[0332] [2] An AI layer 230 may exist between the EE layer 220 of anasset 200 and the BE layer 240 according to one embodiment of thepresent invention. The AI layer 230 may enable the passing ofinformation between the EE layer 220 and the BE layer 240. In oneembodiment, the AI layer 230 may provide a standard interface betweenthe asset 200 and/or asset adapter (discussed below) and the BE layer240. In the example embodiment, the AI layer 230 may be a commoninterface available to the asset 200. According to one embodiment, adistinct AI layer 230 may be associated with each unique BE layer 240and an AI layer 230 may exist for each BE layer 240 that corresponds toan asset adapter.

[0333] The BE layer 240 is not part of an asset but may enable an assetto operate in a target environment other than the source environment ofthe application (e.g., EIS) from which the asset derives according tothe one embodiment of the present invention. For example, the BE layer240 may include Web tier services, middleware component services, and/ordatabase services. In another example, the BE layer 240 may include allor part of a Java Virtual Machine, a Web server engine, a Java servletengine, an EJB container, a database management system (“DBMS”), and/ora relational database management system (“RDBMS”).

[0334] An asset 200 may be defined as some meaningful partitioning(logic/data layer 210) of an application from the source environmentcombined with part of the source environment (the extended environmentlayer 220) that is needed to run that partition of the application.Thus, in this case, both the LD layer 210 and the EE layer 220 are partsof the source environment (e.g. an EIS) that are selected so that theasset 200 can be distributed across a network, particularly acrossnetwork tiers, and so that the asset 200 can perform the asset purposeor function (the purpose or function that the asset/LD layer 210 wasdesigned to perform on its respective source environment) on any giventarget (e.g. remote, computer environment and/or platform).

[0335] As previously stated, an asset may be categorized by the contentand/or purpose of the asset according to one embodiment of the presentinvention. This asset categorization or asset type may be used tocorrelate an asset with an asset adapter (described below).

[0336] An asset adapter may be a logical designation for a set offunctions that enable an asset to progress through an asset lifecycle(described below) according to one embodiment of the present invention.The asset lifecycle is a set of transformations of the asset 200 as itmoves from the source environment (e.g. one or more EIS), into thedistribution environment (e.g. one or more distribution servers), to oneor more target environments (e.g. one or more clients/nodes), andoptionally back to the source environment (possibly back through thedistribution environment) according to one embodiment of the presentinvention. These transformations may be caused by several asset adaptersand may depend on the type of the asset 200. (See below for furtherdescription of asset adapters.)

[0337] A single asset 200 may contain all the elements, such as data orinformation, necessary to package, move, transport, and restore theasset to its original state (that state in its source location) whileand/or after moving the asset from the source location to the one ormore target locations (and optionally back) so that the asset canperform the asset purpose or function on the target. Thus an asset 200is able to maintain its relationship with the environment in which theasset is expected to perform the asset purpose or function acrossdifferent environments or platforms. In one embodiment, the asset 200may have the minimal application logic and extended environment (e.g.,execution/transaction/security context and state) necessary to performthe asset purpose or function on one or more targets.

[0338] As previously stated, an asset has an asset boundary used todefine the asset, as in the example of a Java Bean or EJB. Additionally,the asset may represent the state behind a well-known functionalinterface, such as data that would be accessed through a standard set ofcalls (e.g., JDBC interface calls). If the JDBC interface is viewed as adiscrete set of objects, the state may correspond to the relational datain the data source (e.g. a relational database).

[0339] The following table provides example of different types of assetsalong with examples of the possible constituent parts for each assettype according to one embodiment of the present invention. The“algorithmic logic & data” content of the asset may correspond to the LDlayer of the asset. The “extended environment” content of the asset maycorrespond to the EE layer 220 of the asset. The “base environment” maycorrespond to content in the BE layer 250 when a BE layer 250 isprovided for the asset. As previously stated, a BE layer 250 may beprovided on a target computer for the asset in order to allow the assetto properly operate according to the example embodiment of the presentinvention. In one embodiment, a BE layer 250 may be sent to a targetcomputer as one or more assets. Examples of asset types and theirconstituent parts. Algorithmic Extended Base Asset Type Logic & DataEnvironment Environment Base CDS Adapter Class Version Information CDSClient Adapter Files Licensing Agent Information JVM Java Static HTMLPage Web Server Aliases Web Server Content Static GIF Image Web ServerContent JSP JSP Page JNDI Entries JVM Servlet Engine Java Class ClassFile JNDI Entries JVM File Session EJB EJB Stub and JVM BeanImplementation Skeleton EJB Application Deployment Server DescriptorJNDI Entries Entity Bean EJB EJB Stub and JVM Implementation SkeletonEJB Application Data based on Deployment Server query Descriptor DBMSJNDI Entries Table Schema Reference Data based on Table Schema DBMS Dataquery Entity Data Data based on Table Schema DBMS query Non- JavaSmallTalk Image Image SmallTalk VM C++ Executable, or Registry EntriesOperating Dynamic Environment System or Library Variables PlatformEmulator Perl Perl Script Environment Perl Interpreter Variables Non-Language Music MP3 File Album and track MP3 Player information. VideoMPEG File Production Notes MPEG Player Documents PDF File AuthenticationPDF Viewer Certificate

[0340] Assets 200 may comprise many types (asset types), including:static content (SC), dynamic content (DC), Java Beans (JB), session bean(SB), entity bean (EB), reference data (RD), entity data (ED), namingdirectory, and many more according to one embodiment of the presentinvention.

[0341] Static content (“SC”) assets may include information that doesn'tchange in a program and/or display according to one embodiment of thepresent invention. SC assets may be cached in a local, e.g. clientmemory, for re-use so that the asset doesn't have to be resent over thenetwork each time it is used. Examples of static content assets mayinclude html files, gif files, and jpeg files.

[0342] Dynamic content (“DC”) assets may include information thatchanges over time according to one embodiment of the present invention.Often this information is displayed/provided with SC assets. Typically,the DC and DC asset is produced in real-time or at the time of use. Forexample, a weather map of the United States might be locally cached asSC but the temperature in New York City is DC that is continuallyupdated in time as numeric data that is displayed on the map near thelocation of NYC. In a financial application, forms or format foraccounts (e.g. loan applications, mortgage applications, stock/financialinstrument portfolios, bank statements, a service or productadvertisement, etc.) may be provided as SC in an SC asset while theofferings and/or value of particular financial assets is provided aschanging DC (e.g., interest rate, stock price, an account balance, or acost of service or product) in a DC asset. The DC asset could be apresentation component asset type category, a transactional componentasset type category, and/or another asset type category depending on thefunction performed by the DC.

[0343] A Java Bean (“JB”) is a well-known Java class file that followsthe convention for Java Beans. The convention specifies how to name themethods in order for third party tools to provide automated processesfor the class. In this disclosure, “Java Beans” and JB asset may be usedto sometimes indicate a general Java class.

[0344] A Session Bean (“SB”) is a well-known Enterprise Java Bean thatis intended to be coupled with a client session. The SB is well definedin many books and the EJB specification. An SB asset could be apresentation component asset type category, a transactional componentasset type category, and/or another asset type category depending on thefunction performed by the SB asset.

[0345] An Entity Bean (“EB”) is an Enterprise Java Bean that is intendedto represent a unique piece of data that can only be accessed by oneclient at a time. The EB is well defined in many books and the EJBspecification. The EB asset could be a presentation component asset typecategory, a transactional component asset type category, and/or anotherasset type category depending on the function performed by the EB.

[0346] The term Reference Data (“RD”) refers to a set of databaserecords that are intended to be accessed in a read-only manner accordingto one embodiment of the present invention. These records are intendedfor “reference” purposes, and may be sent to the client or anintermediate target in order to be accessed as an application executes.The same RD asset may be sent to several targets without worrying aboutthe overlap in data that different targets have. This safety is due tothe fact that the data will not change.

[0347] The term Entity Data (“ED”) describes data that is like RD exceptthat the ED is expected to change according to one embodiment of thepresent invention. ED assets may be treated differently than RD assetsbecause of the problems inherent in the synchronization of data that hasbeen replicated to different targets. It may not be apparent how changesin the same data should be synchronized on the back-end database fromseveral targets. For example, do you allow target 1 to update a record,then allow target 2 to update the same record, even when target 2 didnot have the changes made by target 1 when it made its update on theremote node? Therefore, by creating a distinct asset type, the integrityof the data as it moves through the system may be enforced.

[0348] Both the ED asset and RD asset are relational data, e.g. in therelational data asset type category. In one embodiment of the presentinvention, a package may contain both assets of a relational data typeand assets other than relational data assets. In another embodiment, oneor more RD assets and/or ED asset may be combined with any combinationof SB, EB, and JSP assets.

[0349] As stated above, a package structure may contain one or moreassets of a first asset type or category of asset type and one or moreassets of a second asset type that are not of the first type or categoryaccording to one embodiment of the present invention. Assets with third,forth, etc. asset types or category of asset types may also be includedin the package structure according to other embodiments of the presentinvention. For example, a package may include one or more first assetsfrom the relational data asset category (e.g., ED and/or RD assets) andone or more second assets from the presentation component asset typecategory (e.g., DC, JB, SB, and/or EB assets). In another example, oneor more third assets from the transactional component asset typecategory may also be added (e.g. DC, JB, SB, and/or EB assets). Inanother example, one or more SC assets may be added to the packagestructure or may replace the transactional component asset type categoryasset in the package structure.

[0350] In an alternative embodiment, the package structure can be acombination of first assets with a static content asset type and secondassets having a presentation component asset type (e.g., DC, JB, SB,and/or EB asset). Furthermore, an optional third asset may have arelational data asset type (e.g., ED and/or RD asset) and an optionalforth asset may have a transaction component asset type (e.g., DC, JB,SB, and/or EB asset) according to one embodiment.

[0351] According to one embodiment of the present invention, thepresentation component asset type may be used to generate content and/orperform algorithmic logic (e.g., execute program code) associated withthe manipulation and/or validation of user interface data and/orcontent. This content may include: HTML, Gif, JPEG, WML, and XML, andany other general markup language content. In one embodiment, thepresentation component asset type is a dynamic content asset.

[0352]FIG. 2A shows a preferred description of an asset lifecycle 240L.The asset lifecycle is a description of the asset, and changes to theasset, as the asset moves across tiers of the network onto differentcomputer platforms and environments.

[0353] [3] The asset goes through a lifecycle 240L starting in thesource tier, moving through the deployment tier, into the target tier,and then optionally back through the deployment tier to the source tierand/or can move to any other node or nodes in the network if required.The asset adapter methods are used in one or more of the steps in thislifecycle. In one embodiment, an asset type specific processing isrequired for the asset to continue through the lifecycle. In somepreferred embodiments, information contained in the EE 220 is modifiedby one or more of these adapters to enable the asset to continue throughthe life cycle.

[0354] In a preferred embodiment, assets 240 are “discovered” in thesource environment (tier) 910 by an asset adapter called the discoveryasset adapter method 2100 (see FIG. 21 below). In alternativeembodiments (FIG. 21B) the discovery asset adapter method identifies andcreates the digital asset 240, creates an intermediate representation2100C of a computer system part 100F, adds the asset to an AssetInventory 2100D, and writes asset descriptors into the EE 220.Optionally, an asset description data structure 1170 is created.

[0355] In a preferred embodiment, an “export asset adapter method” (seeFIG. 16) identifies and exports candidates for classification as assets240 and together as packages. In this preferred embodiment, the exportasset adapter method 1600 (see FIG. 16 below) is used to obtain theactual current version of assets in the source tier that needs to bedistributed to the target tier. After the assets are exported, theassets are moved to the deployment or distribution tier 960 andtypically stored in an asset cache 961. When exporting assets, theexport asset adapter method captures the logic, data, 210 and extendedenvironment information 220 for an asset 240 and puts it into an assetdata structure 240 where the asset type is also identified.

[0356] In another preferred embodiment, the export asset adapter method(see FIG. 16B) takes the Asset Inventory 2100D and the intermediaterepresentation 2100C and prepares a preliminary package specification1650B. The asset data structure and EE 220 of the digital asset 240 arealso updated.

[0357] A package specification 1100 (see FIG. 4 below) is created thatin turn contains asset specifications 1170. In a preferred embodiment,the asset specification 1170 is stored in the deployment tier until apackage 1100 is scheduled to be delivered.

[0358] In an alternative embodiment, a packaging agent takes thepreliminary package specification 1100A and creates a finalized packagespecification data structure. In a preferred embodiment, both thepreliminary package specification 1100A and the finalized packagespecification 1100A have the same data structure, comprising an ExtendedEnvironment-Package data structure 1120A and one or more AssetIdentifiers 11172 (see FIG. 11A).

[0359] The optional version asset adapter method 1660 (see FIG. 16Abelow) is used to determine the current version information of theassets 240 in the source tier. In a preferred embodiment, this versioninformation is compared with the target tier asset version informationin the deployment tier to determine if assets need to be deployed fromthe source tier to the target tier.

[0360] If an asset requires processing the processing may be done whenthe asset is stored in the asset cache 961 or at any time before theasset is distributed to either a secondary cache in thedeployment/distribution tier 960 or the target tier. The processing isprimarily performed on the asset's extended environment 220, in anattempt to translate the extended environment 220 to run in harmony withthe base environment 250 in the target tier. However, the processingprocess (see FIG. 18 below) may also change the logic/data portion ofthe asset or both the logic/data and the extended environment portion ofthe asset.

[0361] An agent 1400 in the target environment requests the assets thatare pending in the CDS/ADS cache for delivery to the target tier are infact delivered to the respective target.

[0362] In a preferred embodiment, the target processing asset adaptermethod 1900 (see FIG. 19 below) is executed on the CDS/ADS tier againstany asset 240, (typically cached in the CDS/ADS cache) that requirestargeted processing before being sent to the target tier 935. Targetprocessing is intended primarily to change the Logic/Data section 210 ofthe asset data structure 240 in order to provide a unique asset that cancreate or has personalized information for one or more specific targets(typically 940) on the target tier 935 on which the asset 240 is beingdeployed. The processed asset 240P therefore can have a changedLogic/Data section 210P. However, the processed asset 240P could have achanged extended environment section 220P or both parts (210P and 220P)can be changed. In other cases, neither the Logic/Data section (210,210P) nor the extended environment (220, 220P) will be changed. Theprocessed asset 240P is typically stored in the CDS/ADS cache 961.

[0363] In some embodiments, a targeting process adapter 1900 can targetto an intermediate target (a server that will in turn server many users)or a final target (a single node that will serve a single user).

[0364] When the asset is sent to the target tier, the deploy assetadapter method 1700 (see FIG. 17 below) is invoked to deploy the asset(240, 240P) into the computational environment, i.e., the baseenvironment 250, in the target tier. The extended environment 220P fromthe asset's data structure 240P is used to set the base environment 250and extended environment 220P in the target tier to run the asset 240Pin a correct manner. The asset's logic and data 210 are then deployedinto the base environment 250, and since the environment has beenadjusted, the logic 210 will function correctly and the data 210 will beaccessible.

[0365] When changes happen in the target tier 935 that warrantsynchronization, the synchronization asset adapter method 2000 (see FIG.20 below) is executed to create a synchronization asset 240S that ispropagated back through the deployment/distribution tier 960(optionally) and then into the source tier 910. The source tier resource(asset) that corresponds to the synchronization asset is synchronizedwith the information in the synchronization asset 240S.

[0366]FIG. 2B is a block diagram of a preferred extended environment(EE) 220 of any general digital asset 240. The extended environment datastructure 220 is part of the digital asset 240 that is capable of beingtransmitted over one or more multi-tiered networks. A preferredembodiment of the EE 220 is written in XML (extended markup language).An example of a preferred EE 220 written in XML is given below withassociate reference numbers that refer to FIG. 2B.

[0367] The EE 220 has one or more common descriptors 210B, one or moreasset dependency descriptors 222B, and one or more target serverdependencies 226B. In an alternative preferred embodiment, the EE 220additionally has one or more EIS server dependencies 224B. In otherpreferred embodiments, additional descriptors are added as describedbelow.

[0368] The common descriptors 210B provide a unique identification ofthe digital asset 240 on the networks. Examples of common descriptors210B include any one or more of the following: a digital asset name ofthe digital asset, a unique fully qualified name of the digital asset,an address of the digital asset, a size of the digital asset, avolatility descriptor of the digital asset, a common runnable descriptorof the digital asset, a user type descriptor of the digital asset, asecurity descriptor of the digital asset, and a price descriptor of thedigital asset.

[0369] The asset dependency descriptors 222B identify one or moreassociated digital assets 240. The associated digital assets are thosedigital assets 240 that are associated with the digital asset 240 thatcontains the subject EE 220. In a preferred embodiment, this associationdefines a joint membership of the digit asset 240 and the associateddigital assets as parts of a whole. See above.

[0370] Examples of the asset dependency descriptors 222B include any oneor more of the following: one or more names of the other digital assetson which the respective digital asset is dependent; any general assetidentifier, and/or one or more unique fully qualified names of otherdigital assets on which the digital asset is dependent.

[0371] The associate digital assets 240 and the digit asset 240 havejoint membership in a whole that defines a part-whole relationship. In apreferred embodiment, the whole is defined by a graph. Graphs arewell-known in the computer arts and define physical and/or logicalassociations among the digital assets 240 in the whole. In a morespecific preferred embodiment, the graph is any one or more of thefollowing: a containment graph, a tube graph, a call graph, and a purerepresentation expressible as a graph.

[0372] In some preferred embodiments, the whole is embodied as apackage. This is a physical and/or logical association. In a preferredembodiment, the EE 220 has package relationship descriptors 285B thatrepresents a part-whole relationship between the digital asset 240 andone or more packages containing the digital asset.

[0373] In some embodiments, the package relationship descriptorsrepresent at least the following three relationships in the part-wholerelationship: a mandatory part-whole relationship, a shared part-wholerelationship, and a root part-whole relationship.

[0374] A mandatory part-whole relationship is defined here as aninvariant relationship between a specific digital asset and a specificpackage. That is, the specific package does not possess the property ofcorrectness unless the specific digital asset is included. In analternative embodiment, this relationship can further imply theexistence of the other digital assets that are members of the specificpackage at a given location on the network when the specific digitalasset is established to exist at that location.

[0375] A shared part-whole relationship is defined here, in a preferredembodiment, as a component-integral relationship between a specificdigital asset and one or more specific packages. That is, the specificdigital asset may be included in one or more packages. Thecomponent-integral relationship indicates that the digital asset bears aparticular functional or structural relationship with each of the one ormore specific packages. The shared relationship descriptor indicates thecomponent-integral form of the relationship. In an alternativeembodiment, the shared relationship descriptor can indicate that thespecific digital asset has a member-collection relationship with one ormore specific packages. That is, the digital asset may be included in acollection of digital assets comprising one or more specific packages.

[0376] A root part-whole relationship is defined here as a non-mandatory“base” or “foundation” relationship between a specific digital asset andone or more specific packages of varying composition.

[0377] See Winston, M. E., et al., “A Taxonomy of Part-Whole Relations”,Cognitive Science, 11, 1987, pp. 417-444, which is herein incorporatedin its entirety, and other well-known works on this topic.

[0378] The EE 220 includes one or more base environment descriptors 225B(e.g., target server dependencies descriptors 226B) that identify a baseexecution environment on one or more target computers. The baseexecution environment 250 is required to execute the digital asset 240on any given target computer 830 to which the digital asset 240 isdistributed. The base execution environment 250 has zero or more otherdigital assets 240. In one embodiment, one or more of the other digitalassets 240 are deployed to the respective target computer from one ormore or the Enterprise Information Systems (EIS) 810 to create the baseenvironment 250. In one preferred embodiment, the minimum complement ofother digital assets required to utilize the respective digital asset atthe target are deployed to create the base environment on the target.

[0379] In a preferred embodiment, the digital assets deployed to thetarget computer from the EIS to create the minimum base environment arenamed as the target server dependencies in the EE 220. These targetserver dependencies can include any one or more of the following: one ormore database management systems (DBMS), one or more browsers, one ormore Java Virtual Machine (JVM) instantiations, one or more operatingsystems, and other systems 105F, sub-systems 106F, applications 108,sub-applications 110F, components 120F, modules 130F, and/or functions140F. When such system part is named in one of the target serverdependencies descriptors 226B for the digital asset, the packagingprocess (see below) will perform a lookup of a pre-prepared manifest forthat respective system part and incorporate digital assets to deploy therespective system part 100F.

[0380] In an alternative embodiment, the EE 220 has one or more EISserver dependencies descriptors 224B. The EIS server dependenciesdescriptors 224B identify an EIS execution environment required on theEIS 810 in order to ensure correct utilization of the digital asset onthe EIS. The EIS execution environment is that set of EIS systems 105F,EIS sub-systems 106F, EIS applications 108, EIS sub-applications 110F,EIS components 120F, EIS modules 130F, and EIS functions 140F that thedigital asset 240 requires on the EIS 810 in order to ensure correctutilization of the digital asset on the EIS. The EIS server dependenciesdescriptors 224B can be used to ensure that digital assets that resideon the EIS will be correctly synchronized (see synchronization below)with digital assets deployed to one or more of the target systems.

[0381] Examples of EIS server dependencies 224B include one or more ofthe following: EIS operating systems (in rare cases), EIS databasemanagement systems (DBMS), EIS servers, EIS application servers, EIS Webapplication servers, one or more accounting, customer relationshipmanagement (CRM) systems, business to business (B2B) systems (e.g.,supply chain management, etc.), business to customer (B2C) system (e.g.order fulfillment systems, electronic shopping systems, etc.), and oneor more message oriented middleware applications. Specific EIS serverdependencies 224B include one or more of the following: one or moreOracle DBMS, one or more Sybase DBMS, and one or more DB2 DBMS.

[0382] Further, one or more of the target server dependencies and one ormore of the EIS server dependencies can be compared to determine whethera transform of the digital asset is required for the asset to bedeployed on the respective target computer (see below).

[0383] In one preferred embodiment, the EE 220 has one or more transformdescriptors 255B that facilitate and/or enable a transform of thedigital asset 240 from its form in the EIS execution environment to aform utilizable in the base execution environment 250. In a preferredembodiment, the transform descriptors 255B may include a propertiesdescriptor, a format descriptor, and a registry descriptor (e.g.primarily for Window 32 systems).

[0384] The properties descriptor that provides information required foruse of the digital asset on an operating system of the base executionenvironment 250. For example, the Sun Microsystem EJB API call,EJBContext.getEnvironment( ) method is optional in EJB version 1.1,which means that it may or may not be supported in a different baseexecution environment (i.e. a base execution environment supporting EJB1.0). In this example, a properties descriptor could indicate an actionto take (typically in the form of an exception) if the digital asset wasrequired to execute in an EJB 1.0 base execution environment. In thisexample embodiment, the values in the properties descriptor would beused to modify the base execution EJB 1.0 environment to handle this APIcall.

[0385] The format descriptor provides information required for use ofthe digital asset on an operating system of the base executionenvironment 250. For example, in order to perform one of the exampletransforms described below, that is the transform of a Unix plain textfile to a form usable in a MS-DOS or Windows system, a key-word, such asUNIX-TEXT would be set as the format descriptor, identifying the file asbeing in Unix text format.

[0386] The registry descriptor provides information required for thedigital asset that is being deployed from (to) a non-Windows EIS (baseexecution environment) to (from) a Window's environment on the baseexecution environment (Windows EIS environment). A “registry” is aWindow's 32 operating system feature that is used by Windows to managehardware and software under its control. The registry is presented, andcan be manipulated as a list of registry entries (e.g., text, etc.).Many Window's programs require specific entries be inserted into theregistry for correct program operation.

[0387] The transformation of the digital asset could be a transformationof data in a logic/data section 210 of the digital asset 240. Forexample, if the digital asset 240 is a standard text file (see transform255B format descriptors above), and if the EIS server dependencydescriptors 224B indicate the EIS has a UNIX environment, and if thetarget server dependencies descriptors 226B indicate that the target hasa DOS environment, then, the transformation would include insertion ofthe “AM” character into the LD section 210 at the end of each line. Thistransformation can be initiated by a rule base system that has rulesthat apply to these conditions. See below.

[0388] The transformation of the digital asset could be a transformationof logic in a logic/data section 210 of the digital asset 240.

[0389] For example, one method to transform logic in a logic/datasection 210 of the digital asset 240 is to send the Java source codestatements for the logic digital asset to the target environment (or,alternatively on the CDS, DIS, below). In order to execute the Javalanguage statements of a Java language program, the statements areinterpreted and executed by a Java Runtime Compiler specific to aparticular execution environment, e.g. an EIS environment or a targetenvironment. If the common runnable descriptor is set (indicating thatthe digital asset 240 is runnable), and if the runnable descriptor 240B(below) are set to values that indicate that the EIS and targetenvironments are different (for example, Solaris and Windows), then atransform is effected by means of the two Java Runtime Compilerinstances, respectively on the EIS and target environment. The runnableobject created by the Java Runtime Compiler on the EIS is not the sameas the runnable object created by the Java Runtime Compiler on thetarget.

[0390] In another example, the Sun Microsystem EJB API call,EJBContext.getEnvironment( ) method is optional in EJB version 1.1,which means that it may or may not be supported in a different baseexecution environment (i.e. a base execution environment supporting EJB1.0). In this example, the properties descriptor is used as describedabove to realize the transform of the logic digital asset from a formthat could only run on EJB version 1.1 to a form that could run on EJBversion 1.0.

[0391] In an alternative preferred embodiment, the EE 220 also has oneor more reference descriptors 260B. In a preferred embodiment, thereference descriptors 260B include any one or more of the following: areference link descriptor, a reference file descriptor, and a referencedirectory descriptor. The reference link descriptor provides a WorldWide Web (“WWW”) address that has contents used for processing of thedigital asset. The reference link descriptor provides a WWW address thathas contents used during execution of the digital asset. The referencefile descriptor is a unique fully qualified name of a file required forreference by the digital asset. The reference directory descriptorprovides an additional address information that is used to locate one ormore of the associated digital assets. For example, the additionaladdress information could include root or parent level directory names,which would, following well-known format, be combined with the leafdirectory level identification given in the common name descriptor tolocate and fully qualify the path information for the digital asset.

[0392] In an alternative preferred environment, the EE 220 furthercomprises one or more asset type descriptors 230B. As a non-limitingexample, the asset type descriptors 230B may describe any one or more ofthe following asset types: static content (SC), dynamic content (DC),enterprise java beans (EJB), reference data (RD), session bean (SB),entity bean (EB), entity data (ED), java class (JC), and java beans(JB). See above.

[0393] In an alternative preferred environment, the asset typedescriptors 230B can be one or more asset category descriptors. Exampleasset category descriptors may include any one or more of the following:a presentational descriptor, a transactional descriptor, and arelational data descriptor. See above.

[0394] In an alternative preferred embodiment, the asset typedescriptors 230B can be one or more asset class descriptors. Exampleasset class descriptors may describe any one or more of the following:base, java, non-java, language, and non-language digital asset classes.

[0395] In an alternative preferred embodiment, the EE 220 furthercomprises one or more package relationship descriptors 285B thatrepresent a part-whole relationship between the digital asset 240 andone or more packages (see below) containing the digital asset. Thepackage relationship descriptors 285B represent at least the followingthree relationships in the part-whole relationship: a mandatorypart-whole relationship, a shared part-whole relationship, and a rootpart-whole relationship.

[0396] In an alternative preferred embodiment, the EE 220 furthercomprises one or more security descriptors 280B. The securitydescriptors are well-known and may describe any one or more of thefollowing functions: encryption, authorization, and access control.

[0397] In an alternative preferred embodiment, the EE 220 furthercomprises one or more runnable descriptors 240B. The runnabledescriptors need only include a target execution environment for thedigital asset 240. In an alternative embodiment, the runnabledescriptors 240B may include an EIS execution environment and a targetexecution environment for the digital asset 240. In an alternateembodiment, as described above, if both the EIS execution environmentrunnable descriptor and the target execution environment runnabledescriptor are both set, and their values are different, the transformprocess may be invoked on the runnable digital asset.

[0398] In an alternative preferred embodiment, the EE 220 furthercomprises one or more non-runnable descriptors 242B. The non-runnabledescriptors need only include a target execution environment for thedigital asset 240. In an alternative embodiment, the non-runnabledescriptors 242B may include a EIS execution environment and a targetexecution environment for the digital asset 240. In an alternateembodiment, as described above, if both the EIS execution environmentnon-runnable descriptor and the target execution environmentnon-runnable descriptor are both set, and their values are different,the transform process may be invoked on the non-runnable digital asset.

[0399] In an alternative embodiment, the EE 220 further comprises one ormore personalization descriptors that enable the digital asset to becustomized upon delivery to one or more of the base executionenvironments. In a preferred embodiment, the personalization descriptorsinclude one or more data keys that establish a linkage among dataelements in the EIS execution environment. Alternatively, thepersonalization descriptors include one or more data keys that establisha linkage among logic elements in the EIS execution environment.

[0400] In an alternative embodiment, the EE 220 further comprises ormore pricing descriptors 275B. The pricing descriptors describeinformation about any well-known general pricing information includingone or more of the following: a price, a price scheme (subscription, payto own, pay to use, one time payment), a payment detail, and paymentmethod (check, credit card, card number).

[0401] In an alternative embodiment, the EE 220 further comprises one ormore target information descriptors 270B. Target information descriptors270B can give any general information about the targets and, by example,may include any one or more of the following: a well-known user, ananonymous user, one or more user groups, an entire user group, a targetmachine, an identifiable segment of target machines, a collection oftarget machines, an internet protocol address mask, and a group oftarget computers in a node collection structure.

[0402] In an alternative embodiment, the EE 220 further comprising oneor more schema descriptors 250B. The schema descriptors provideinformation that describes any or more of the following examples:database table names and definitions, database column names anddefinitions, database key identifiers and value ranges, database viewnames and definitions, and other well-known database schema elements.

[0403] In an alternative embodiment, the EE 220 further comprises one ormore metadata descriptors 250B. The metadata descriptors 250B provideinformation that describe any or more of the following examples:repository object definitions, scope object definitions, module objectdefinitions, operation object definitions, exception object definitions,constant object definitions, properties object definitions, attributeobject definitions, relationship object definitions, type objectdefinitions, and other well-known metadata object definitions.

[0404] In one preferred embodiment, the EE 220 further comprises one ormore distribution logic descriptors 290B. The distribution logicdescriptors 290B describe or point to one or more transaction rules andone or more concurrency rules. The transactions rules specify any of anumber and a frequency of times that the digital asset can bedistributed to one or more target computers. The concurrency rulesspecify whether or not there are any restrictions on distribution of thedigital asset with respect to the distribution of one or more otherdigital assets.

[0405] For an example of a transaction rule, a well-known practice inthe distribution of priced digital assets is that buyers of such assetsare permitted up to some number of download attempts in the course ofrealizing internet-based delivery of a priced digital asset. Thispractice has been put in place to protect buyers from internetinfrastructure failures that result in a failure of the buyer to receiveall of the digital assets the buyer has purchased.

[0406] Purchases of digital assets are regarded as transactions in thewell-known sense. The “up to [number]” practice represents a transactionrule to govern that purchase.

[0407] For an example of a concurrency rule, a well-known practice inthe internet-based distribution of software programs is that a user isblocked from downloading a certain version (for example, a “Release 4”version) of a software program while simultaneously downloading anincompatible version (for example, a “Release 5” version) of asub-component of such software program.

[0408] Other EE 220 descriptors are envisioned.

[0409] As the digital asset 240 is distributed over tiers of thenetwork(s), the EE 220 can be sent over one or more network interfaces,received over one or more interfaces, and stored on one or more memoriesthrough out the network. Various processes (e.g., discover, export,process, target, etc. below) will operate on the EE 220 or useinformation in the EE to perform their respective functions.

[0410] The following is an example preferred embodiment of the EEdefined in FIG. 2B as an XML document: <?xml version<“1.0”encoding=“ISO8859_1”?> <!DOCTYPE dis-ee PUBLIC′-//InternationalInteractive Commerce, LLC//DTD Extended Environment//EN′′http://www.iic-ltd.com/dis/dtds/ iic_ee_1_1 .dtd′><extended_environment>  <common> 210B   <name></name>  <address></address>   <size></size>   <volatile></volatile>  <runnable></runnable>   <version></version>   <user_type></user_type>  <security></security>   <priced></priced>  </common>  <dependencies>220B   <asset_dependencies> 222B    <asset></asset> </asset_dependencies>   <eis_server_dependencies> 224B    <dbms></dbms>  </eis_server_dependencies>   <base_environment> 225B   <target_server_dependencies> 226B     <dbms></dbms>    <browser></browser>     <jvm></jvm>    </target_server_dependencies>  </base_environment>  </dependencies>  <type_descriptors> 230B  <type></type>   <category></category>   <class></class> </type_descriptors>  <runnable> 240B  <eis_execution_environment></eis_execution_environment>  <target_execution_environment></target_execution_environment> </runnable>  <non_runnable> 242B  <eis_execution_environment></eis_execution_environment>  <target_execution_environment></target_execution_environment> </non_runnable>  <schema_and_metadata> 250B   <database>   <process_granularity_level></process_granulanty_level>   <object_granularity></object_granularity>   </database>  <metadata</metadata>  </schema_and_metadata>  <transform> 255B  <properties></properties>   <registry_entries></registry_entries>  <format></format>  </transform>  <references> 260B  <reference_links></reference_links>  <reference_files></reference_files>  <reference_directories></reference_directories>  </references> <personalization_keys> 260B  </personalization keys>  <target_info>270B   <target_type></target_type>  </target_info>  <pricing> 275B  <actual_price></actual_price>   <price_scheme></price_scheme>  <payment_details>    <payment_method></payment_method>   <credit_card_info></credit_card_info>   </payment_details>  <pricing> <security> 280B  </security>  <package_relation> 285B  <mandatory></mandatory>   <shared></shared>   <root></root> </package_relation>  <distribution_logic> 290B  <transaction_rule></transaction_rule>  <concurrency_rule></concurrency_rule>  </distribution_logic></extended_environment>

[0411]FIG. 5 is a Unified Modeling Language (“UML”) diagram of an assetclass object according to one embodiment of the present invention.Assets 500 may have intrinsic properties such as, for example, volatile,runnable, nonvolatile, and nonrunnable according to one embodiment ofthe present invention.

[0412] The UML diagram shows the inheritance hierarchy of an asset 500.According to the embodiment depicted in FIG. 5, an asset 500 is asuperclass from which two subclasses are derived. These two subclassesinclude the class of volatile assets 510 and static assets 520. In turn,the volatile asset class 510 is the superclass of a runnnable assetclass 530 and the static asset class 520 is a superclass of a runnablestatic asset class 540. When the class hierarchy shown in FIG. 5 isadhered, object-oriented design benefits may be realized. The propertiesof volatile, static, and runnable are intrinsic properties of therespective classes described above. Objects that contain or are concreteinstances of these classes will assume the transitive intrinsicproperties of these classes. Therefore, concrete data structures (e.g.,packages below) can be created to have these same intrinsic properties.

[0413] A volatile asset 510 may be identified in a computing environmentwhen two successive reads of the asset 500 may return different resultsaccording to one embodiment of the present invention. In a distributedapplication environment (e.g., with a client/server softwareapplication), a volatile asset 510 may further be identified when theworking copies of the volatile asset (typically located on a targetcomputer) need be reconciled with the master copy of the asset at thesource (e.g., an EIS) only at one or more prescribed synchronizationpoints.

[0414] A runnable asset 530 may be identified in a computing environmentbecause instances of this asset 500 are capable of and intended toexecute on an operating system thread according to one embodiment of thepresent invention.

[0415] A nonvolatile asset 520 (herein also referred to as a staticcontent asset or static asset) may be identified in a computingenvironment by the existence of a single representation or view of theasset regardless of the number of instances of the asset existingaccording to one embodiment of the present invention. A nonvolatileasset may appear immutable regardless of the asset's location in thenetwork.

[0416] A nonrunnable asset 286C can be universally distinguished in anycomputing system because instances of this Digital Asset are notintended to be, and are not capable of being executed by any operatingsystem thread.

[0417] The properties of Runnable, Volatile, Non-Volatile, andNon-Runnable are well-known in the prior art, for example, see:

[0418] Java Language Specification, 2^(nd) Edition, Draft Gosling, et.al., Copyright 2000 by Sun Microsystems, Inc., Page 165.

[0419] C++ Programming Language, 3^(rd) Edition,Bjae Stroustrup,Copyright 1997 by AT&T, Page 808.

[0420] Which are herein incorporated by reference in their entirety.

[0421] A whole is an association of one or more digital assets 240. Thisassociation can be a physical association (e.g., where the whole is awell-known container of digital assets 240) or a logical association(e.g., where the whole is a system 105F, sub-system 106F, application108, sub-application 110F, components 120F, modules 130F, or a function140F).

[0422] Certain of the intrinsic properties 240I of digital assets 240are transitive to any whole of which the respective digital assets 240are members. Specifically, if a whole contains or has a composition ofone or more runnable digital assets 284C, the entire whole has arunnable intrinsic property. If the whole contains or has a compositionof one or more volatile digital assets 240, the entire whole has avolatile intrinsic property. However, all of the digital assets 240contained in the whole must be static 282C for the whole to have anintrinsic static property. Similarly, all of the digital assetscontained in the whole must be non-runnable for the whole to have anintrinsic property of non-runnable.

[0423] The whole can contain or have a composition of digital assets 240that are either homogeneous or heterogeneous. Here homogeneous orheterogeneous is with respect to the intrinsic property of the digitalassets contained in or being members (composition) of the whole.Examples include homogeneous runnable wholes or a heterogeneous runnablewholes. Runnable wholes can be homogenous or heterogeneous.

[0424] Association can be a physical association or a logicalassociation or both. A physical association can be defined from anygrouping of two or more digital assets, e.g. a file containing two ormore records (objects, structures, etc.) is a physical association. Alogical association of digital assets 240 describes discrete connectionsamong the respective digital assets 240 in the respective whole. Alogical association carries information about relationships among thedigital assets in the whole, e.g. two or more runnable objects logicallyassociated by a call graph. Another example of a logical association isthe HTML code of a Web page that identifies and logically associated anumber of executable digital assets 240 (e.g., Java Scripts) and one ormore static content component (e.g. a wav file). A logical associationcan also be define by one or more rules, e.g. specifications of theassociation. These rules could describe group/role associations;business, marketing, and/or pricing associations; or any generalassociation that can be specified or defined in this way.

[0425] An example of a logical and a physical association is acontainment graph representing all executable and data files in anapplication 108 and their topology that may physically reside in asingle data structure in memory, such as a package (see below). Anotherexample of a logical and physical association is a collection objectsuch as a vector collection object in C++, which may store one or morehomogeneous digital assets 240 in memory, with the basis of their jointassociation preserved externally from the collection. Here it becomesapparent that logical associations can be internal (within the whole) orexternal (external to the whole).

[0426] A digital asset 240 shares a joint membership with otherassociated digital assets 240 in a whole. Generally, if the wholecontains at least one runnable digital asset, this whole is any of thefollowing parts 100F: a system 105F, a sub-system 106F, application 108,a sub-application 110F, a component 120F, a module 130F, or a function140F. (See the description of FIG. 1F.) Typically, whole that contain atleast one runnable asset also have other associated digital assetsassociated with the runnable digital asset. Often these wholes containnon-runnable digital assets as well so the whole is heterogeneous.

[0427] A composition is an assembly of parts that forms a whole. Thecomposition part-whole relationship is well-known, and generally, thesystem parts 100F are well-known instantiations of compositions.

[0428]FIG. 6 is a block diagram of a package data structure (i.e., apackage structure) showing the assets associated with a packageaccording to one embodiment of the present invention. The package datastructure 600 identifies the assets that are grouped together in apackage according to the embodiment shown in FIG. 6. In an alternativeembodiment of the present invention, where a package consists of only asingle asset, the block diagram shown in FIG. 6 is less relevant as eachpackage is associated with a single row or record 610 in the packagedata structure.

[0429] According to the embodiment illustrated in FIG. 6, each record610 of the package structure 600 may contain an asset field 620 and apackage field 630 associating one or more assets in the asset field 620with a package in a package field 630. A unique package identifier maybe stored in the package field 630 and a unique asset identifier may bestored in the asset field 620. As previously stated, a package structure600 (i.e., a package) may be a subapplication of an application on oneor more Enterprise Information Systems (“EIS”). A package structure 600may be a non-proprietary subapplication of a proprietary application onone or more Enterprise Information Systems (EIS). Alternatively, apackage structure 600 may be a smaller subapplication of the EIS thatmay be run on a target node or system with less capability that the EIS.A package structure 600 may also be any subset of the EIS that theenterprise chooses to distribute over the network to be executed on aremote target node or system.

[0430] As stated above, a package structure may include a novelcombination of assets including, for example, a relational data assetand a present component asset in the same package. In another example, atransaction component asset and/or a static content asset may also beincluded in the previous package structure example. In an alternativeembodiment, a package structure 600 may include at least one staticcontent asset and at least one presentation component asset. In anotherembodiment, a package structure 600 may include at least one asset fromthe static content asset category (i.e., a static content asset type)with at least one asset from the presentation component asset category(i.e., a presentation component asset type). In this embodiment,additional assets from the relational data category and/or thetransaction component asset category may be further included in thepackage structure 600. In one embodiment, a legacy system asset may beincluded in a package structure 600.

[0431] According to one embodiment, an asset in a package structure 600may belong to the presentation component asset category or to thetransaction component asset category. Such an asset may have alogic/data layer including a subsystem, an application, asubapplication, a component, a module, a function, a variable of an EISprogram, and/or a data structure. In one embodiment, the logic/datalayer may use an object-oriented language. Where the logic/data layer isembodied in an object-oriented language, the logic/data layer mayinclude a Java Archive File (“JAR”), a Java package, and/or a Javaclass. Where the logic/data layer uses a Java Platform 2 EnterpriseEdition (“J2EE”) object-oriented language, the logic/data layer mayfurther include a JSP, a Java servlet, and/or an EJB.

[0432] [4] In another embodiment, a package structure 600 may include arelational data asset which may incorporate other elements in additionto relational data. For example, these elements may include a datastructure, a set of relational database data, a set of object-orienteddatabase data, one or more serialized objects, a set of hierarchicaldatabase data, a subset of EIS data, one or more data sets extractedfrom one or more XML structures, and a flat file. In another embodiment,the package structure 600 may include an asset with an extendedenvironment layer that is a subset of a respective EIS application, atarget environment, and/or an intermediate server environment.

[0433] In one embodiment, a package structure 600 may include one ormore assets that are a part or all of a base environment. For example,these assets may include: a Web server for an SC asset, a Java servletengine for a JSP, a Java Runtime Environment for a Java class asset, anapplication server for an EJB asset (including SB and EB assets), and aDBMS for a data assets (e.g., an RD, ED, and EB asset). According to oneembodiment, a Minimum Application Server (“MAS”) may be used in the baseenvironment. The MAS may provide the minimal services that anapplication needs when distributed to a client. This may include, forexample, naming, Web, servlet, transactional, and database services.These services are termed minimal because they may not have the extendedand/or proprietary features of similar services that may be provided inan EIS environment.

[0434] According to one embodiment, a package structure 600 may includean asset that comprises one or more of the following agents: apublishing agent, a subscriber adapter, a caching agent, and acomputational agent.

[0435] In another embodiment, a package structure 600 may include anasset that comprises any one or more of the following adapters: adiscovery adapter, a versioning adapter, an export adapter, a processadapter, a target adapter, a client deployment adapter, asynchronization adapter, a bridging adapter, an adjustment adapter, astreaming adapter, a quality of service (QoS) adapter, and an assetpackaging process.

[0436] In another embodiment, a package structure 600 may include anasset of a reference data and/or entity data asset type with alogic/data layer that includes data based on one or more queries andwith an extended environment layer that is database table schema.

[0437] In one embodiment, a package structure 600 may include one ormore transaction component assets. A transaction component asset mayperform business logic functions and/or manipulation of data inrelational databases. Examples of transaction component assets mayinclude: an EJB entity bean, EJB session beans, dynamic content used toaccess a database, and/or a Java class that has business logic and/or isused to access a database. A transaction component asset type mayinclude:

[0438] a. an asset having an asset adapter based on a CDS/ADS adapterasset type, with a logic/data layer that is one or more asset adapterclass files that each support one of the respective asset types, andwith an extended environment layer containing licensing information.

[0439] b. an asset having a JSP asset type, with a logic/data layer thatis a JSP and with an extended environment layer that is one or more JNDIentries.

[0440] c. an asset having a java class file asset type, with alogic/data layer that is java class file and an extended environmentlayer that is one or more JNDI entries.

[0441] d. an asset having a session bean asset type with a logic/datalayer that is an enterprise java bean (EJB) implementation and with anextended environment layer that includes an EJB stub and an EJB skeletondeployment descriptor and at least one JNDI entry.

[0442] e. an asset having a java entity bean asset type with alogic/data layer that is an EJB implementation based on a query and theextended environment layer that is an EJB stub and an EJB skeletondeployment descriptor and at least one JNDI entry.

[0443] f. an asset having a Smalltalk asset type with a logic/data layercontaining a Smalltalk image.

[0444] g. an asset having a C++ asset type with a logic/data layer thatis an executable file and with an extended environment layer that is oneor more registry entries or environment variables.

[0445] h. an asset having a C++ asset type with a logic/data layer thatis a dynamic link library (“DLL”) and with an extended environment layerthat is one or more registry entries or environment variables.

[0446] i. an asset having a Perl asset type with a logic/data layer thatis Perl script and with an extended environment layer that includes atleast one environment variable.

[0447] In one embodiment, the package structure 600 may include one ormore static content assets. For example, a static content asset may beincluded where:

[0448] a. the static content asset type is an HTML page.

[0449] [5] b. the static content asset type is an HTML page with anextended environment layer that includes a Web server alias.

[0450] c. the static content asset type is at least one of a JPEG file,a GIF file, a Java Applet, a Scalable Vector Graphics (“SVG”) file, aPortable Document Format (“PDF”) file, a Tag Image File Format (“TIFF”)file, an Encapsulated Postscript (“EPS”) file, a Portable NetworkGraphics (“PNG”) file, an eXtensible Markup Language (“XML”) file, aWireless Markup Language (“WML”) file, a Bitmap (“BMP”) file, aneXtended HTML (“EHTML”) file, a Dynamic HTML (“DHTML”) file, a MotionPicture Experts Group (“MPEG”) file, an AVI file, and any static contenttransferable via an HTTP protocol.

[0451] d. the static content asset type has an extended environmentlayer that contains a Web server alias.

[0452] e. one or more of the assets in the package has a music assettype with a logic/data layer that is an MP3 file and with an extendedenvironment layer that is one or more sets of album and trackinformation.

[0453] f. one or more of the assets in the package has a video assettype with a logic/data layer that is an MPEG file and with an extendedenvironment layer that is one or more production notes.

[0454] g. one of the assets in the package has a document asset typewith a logic/data layer that is a PDF file and with an extendedenvironment layer that is one or more authentication certificates.

[0455] [6] According to another embodiment, a package structure 600 mayinclude a relational data asset (e.g., an RD asset and/or an ED asset)and a presentation component asset. In particular, a presentationcomponent asset may can be a DC asset, a EJB asset, an SB asset, and anEB asset. The package structure, according to this embodiment, mayfurther include a transaction component asset. For example, atransaction component asset may include an EB asset, an EJB asset, an SBasset, and a DC asset.

[0456] [7] In another embodiment, a package structure may include anasset that is an asset adapter based on a CDS/ADS adapter asset type.The logic/data layer of the this asset adapter asset may include anasset adapter class file supporting a particular asset type. Theextended environment layer may contain versioning information.

[0457]FIG. 7 is a block diagram illustrating an asset definition datastructure according to one embodiment of the present invention. In anexample embodiment, the asset definition data structure 700 illustratedin FIG. 7 may be a database table. In alternative embodiments of thepresent invention, the asset definition data structure 700 may takealternative forms other than a database table.

[0458] According to the example embodiment, each record or row 710 ofthe asset definition data structure 700 may contain a number of fields.An asset identificer field 720 may uniquely identify the asset for aparticular application and may serve as the key or part of the key forthe asset definition data structure 700. A location field 730 maycontain information identifying where to obtain the asset. For example,the location field 730 may contain a Uniform Resource Locator (“URL”) orUniform Resource Identifier (“URI”) for the asset. Other machineidentification and/or location information (including memory locationinformation) may be also used in the location field. A name field 740may further identify an asset by providing, for example, a name and/ortextual description of the asset. An asset type field 750 may identifythe type of asset. For example, an asset may be one of the followingtypes: SC asset, DC asset, EJB asset, SB asset, EB asset, JSP asset, RDasset, and ED asset. A version field 760 may identify the version or atime stamp for the asset and/or asset information. These aforementionedfields of the asset definition data structure 700 are exemplary. Inalternative embodiments, some or all of these fields may be omitted andother fields 770 may be included.

[0459] In one embodiment where the asset definition data structure 700incorporates information about a plurality of applications, anapplication identifier field (not shown) may also be included touniquely identify the application for which the asset and/or assetdefinition applies. The application identifier field, when included, mayalso serve as part of the key for the asset definition data structure700.

[0460]FIG. 8 is a block diagram illustrating a deployable asset datastructure according to one embodiment of the present invention. Thedeployable asset data structure 800 may identify the current version ofan asset. In an example embodiment, the deployable asset data structure800 illustrated in FIG. 8 may be a database table. In alternativeembodiments of the present invention, the deployable asset datastructure 800 may take alternative forms other than a database table.

[0461] According to the example embodiment, each record or row 810 ofthe deployable asset data structure 800 may contain a number of fields.An asset identifier field 820 may uniquely identify the asset for aparticular application and may serve as a key for the deployable assetdata structure 800. A version field 830 may identify the latest versionor latest update by, for example, a time stamp for the asset. An assetidentifier 820 and a version 830 may correspond to a similar assetidentifier and a version, respectively, in other data structures. Forexample, the asset identifier field 820 may be associated with the assetidentifier field 720 in the asset definition data structure 700illustrated in FIG. 7. Similarly, the version field 830 may beassociated with version field 760 of the asset definition data structure700 illustrated in FIG. 7, if that version field 760 is used in theasset definition data structure 700. These aforementioned fields in thedeployable asset data structure 800 are exemplary and other fields maybe included and/or substituted in other embodiments of the presentinvention.

[0462]FIG. 9 is a block diagram illustrating a target asset datastructure according to one embodiment of the present invention. Thetarget asset data structure 900 may associate a target node 920 with atarget asset 930. In an example embodiment, the target asset datastructure 900 illustrated in FIG. 9 may be a database table. Inalternative embodiments of the present invention, the target asset datastructure 900 may take alternative forms other than a database table.

[0463] According to the example embodiment, each record or row 910 ofthe target asset data structure 900 may contain a number of fields. Atarget node identification field 920 may uniquely identify a target nodeand may serve as part of the key for the target asset data structure900. A target node may be one or more pieces of hardware (e.g., acomputer) on a communications network and may include associatedsoftware according to one embodiment. For example, a target node mayinclude a proxy server, an application server, a CDS/ADS server, an EIS,a computer running all or part of an EIS, and/or an application runningon a computer. An target asset identifier field 930 may uniquelyidentify an asset for a particular application and may also serve aspart of the key for the target asset data structure 900. For example, ifa target node 920 subscribed to a particular Quality of Service (“QoS”)or was associated with a particular program (e.g., a movie), the targetasset(s) 930 that may be used to provide the target node 920 with theQoS or program may be associated with target node 920 in the targetasset data structure 900. A target node identifier 920 and an targetasset identifier 930 may correspond to similar node and assetidentifiers, respectively, in other data structures. Both these fieldsin the target asset data structure 900 are exemplary and other fieldsmay be included and/or substituted in other embodiments of the presentinvention.

[0464]FIG. 10 is a block diagram illustrating a target deployment queuedata structure according to one embodiment of the present invention. Thetarget deployment queue data structure 1000 may list the target nodes1020 to which packages and/or assets are to be deployed (e.g.,distributed). In an example embodiment, the target deployment queue datastructure 1000 illustrated in FIG. 10 may be a database table. Inalternative embodiments of the present invention, the target deploymentqueue data structure 1000 may take alternative forms other than adatabase table.

[0465] According to the example embodiment, each record or row 1010 ofthe target deployment queue data structure 1000 may contain at least onefield—a target node identifier field 1020-identifying the target nodesto which one or more packages and/or assets are to be deployed. Forexample, the target nodes in the target deployment queue data structure1000 may include clients, servers, proxy servers, localized servers,slave servers, forefront servers, source EIS systems, and/or target EISsystems. The target node identifier field 1020 may contain anydesignation uniquely identifying the target node. For example, thetarget node identifier field 1020 may contain a node name, a nodemachine address, a a node Lightweight Directory Access Protocol(“LDAP”), and/or a node network name.

[0466] According to the example embodiment, the target deployment queuedata structure 1000 may include only a target node identifier field1020. In alternative embodiments of the present invention, the targetdeployment queue data structure 1000 may include one or more additionalfields with additional information about the target node. In anotherembodiment, the target node identifier field 1020 may be a pointerand/or link or direct access to an eXtensible Markup Language (“XML”)file containing information about the target node including a uniqueidentification of the target node. In the example embodiment, the targetdeployment queue 1000 may be located on the CDS/ADS (discussed ingreater detail below).

[0467]FIG. 11 is a block diagram illustrating a physical networkarchitecture of a system according to one embodiment of the presentinvention. According to the embodiment depicted in FIG. 11, the networkarchitecture 1100 may involve one or more communication networks 1110(e.g., the Internet) connected to at least one EIS tier 1120, at leastone component distribution server (“CDS”)/asset distribution server(“ADS”) tier 1130, and at least one client tier 1140 of one or moretarget nodes 1150. The EIS tier 1120, CDS/ADS tier 1130, and client tier1140 may be further divided into sub-tiers.

[0468] The EIS tier 1120 may be further divided into one or moresub-tiers according to the example embodiment of the present invention.For example, the EIS tier 1120 may include a Web tier 1122 consisting ofat least one Web server 1123, an application tier 1124 consisting of atleast one application server 1125, and a database tier 1126 consistingof at least one database server 1127. The Web tier 1122 may produce aWeb page that may be served to a Web client (i.e., a target node) overthe communication network 1110. The application tier 1124 may run anapplication program that may be specific to an EIS and/or client (i.e.,target node). The results (e.g., the output) of and/or the input to theapplication may be communicated with a target node 1150 over thecommunications network 1110. The database tier 1126 may containinformation that may be used by the application tier 1124 and may beaccessed by the client tier 1140. According to one embodiment, thedatabase tier 1126 may contain EIS data, such as legacy data, and mayalso contain non-EIS data available over the network 1110.

[0469] The EIS tier 1120 may be any computer application used by abusiness according to one embodiment of the present invention. Forexample, a business may be a traditional business and/or an electronicbusiness (e.g., Web/Internet based). A business computer application(e.g., an EIS) may deal with business functions relating to, forexample, raw material acquisition and handling, research anddevelopment, product manufacturing, product distribution and storage,marketing, retail and wholesale sales, customer relations, advertising,accounting, finance, taxes, business-to-business transactions, media,maintenance, equipment control, and/or inventory management.

[0470] The CDS/ADS tier 1130 may provide the facilities for identifyingand/or extracting sections of a program and/or other software code andassembling these sections into assets and/or packages. The CDS/ADS tier1130 and its component CDS/ADS servers may distribute these assetsand/or packages to another tier, platform, and/or environment forexecution.

[0471] According to the embodiment depicted in FIG. 11, a target node1150 may be located in the client tier 1140 and may include any target(e.g., hardware or client) that can receive data over the communicationsnetwork 1110. In the example embodiment, a target node 1150 may includea client agent (a software program) and/or a client (i.e., target node)architecture that allows for the remote execution of portions of anapplication (e.g., an EIS) business logic (e.g., EIS software elements)on a target node 1150. The client tier 1140 may include any targetcomputer/hardware 1150 connected to the communications network 1110. Forexample, the client tier 1140 may include as a target node a personalcomputer of a client/customer, a point of sale computer for providingcustomer information, a kiosk-based computer, a Local Area Network(“LAN”) server, a proxy server, a controller on a piece of equipment, asecond EIS tier, and any other server connected to the communicationsnetwork 1110.

[0472]FIG. 12 is a block diagram illustrating a logical networkarchitecture of a system according to one embodiment of the presentinvention. The embodiment of a logical network architecture illustratedin FIG. 12 may be referred to as Distributed Internet Services (“DIS”)1200.

[0473] The EIS tier 1210 may include at least one EIS server 915incorporating various configurations of EIS agents and/or adapters 1220according to one embodiment of the present invention. An EIS agentand/or adapter 1220 may process an asset and/or other element of asoftware application program. According to one embodiment, an EIS agentand/or adapter 1250 may be part of the CDS/ADS tier 1230 and may bedistributed to a respective EIS so that the EIS agent and/or adapter mayoperate. The EIS tier 1210 may be further divided into sub-tiers and mayinclude at least one EIS and/or other application (i.e., softwareapplication program). The EIS tier 1210 may communicate with the clienttier 1255 over a network connection 1285 using an appropriate networkprotocol 1287. These protocols 1287 may include, for example, Web and/orInternet protocols, browser/client protocols, network communicationprotocols, and connection protocols.

[0474] According to the example embodiment, the EIS tier 1210 maycommunicate over a network connection 1290 with one or more CDS/ADSservers 1235 in the CDS/ADS tier 1230. The communication between an EISresiding on an EIS server 1215 in the EIS tier 1210 and a CDS/ADS server1235 in the CDS/ADS tier 1230 may be made using an appropriate protocol1292. For example, an appropriate protocol 1292 for this communicationmay include the Common Object Request Broker Architecture (“CORBA”),Interoperable Internet Object Protocol (“IIOP”), and Remote MethodInvocation (“RMI”) such as, for example, for T3, Java Remote InterfaceProtocol (“JRMP”), and IIOP. The CDS/ADS tier 1230 may also communicatewith the client tier 1255 through a network connection 1295 using anappropriate protocol 1297. These protocols may include, for example,CORBA (with IIOP), RMI (with T3, JRMP, and/or IIOP), and MultiplatformCommunication Connection.

[0475] The CDS/ADS tier architecture may include one or more assetserver nodes 1235 that may be distributed across two or more sub-tiersof the CDS/ADS tier according to one embodiment of the presentinvention. An asset server node 1235 may include a package specificationprocess (not shown) that may involve various combinations of CDS/ADSagents and/or adapters 1250. In the example embodiment, the CDS/ADSagents and/or adapters 1250 may identify assets in respective tiersacross a network and may package these assets for distribution to atarget node 1260 on a client tier 1255 and/or other network tier.

[0476] In the example embodiment, an asset server node 1235 may performa collaboration function provided by a collaboration server 1240. Thecollaboration function may be any collaboration function such as, forexample, the collaboration function specified in U.S. Pat. No.6,240,444, entitled “Internet Web page Sharing” to Fin et al. Issued onMay 29, 2001 or U.S. patent application Ser. No. ______ (serial numbernot yet assigned), entitled “System and Method for Real-TimeCollaboration Using Web Browsers” to Pace et al., filed on Aug. 31,2001, that are both incorporated herein by reference in their entirety.The collaboration function may be performed in one embodiment byhandling the TDS 1245 like any other asset that is packaged,distributed, executed, synchronized, and/or managed through an assetlife cycle.

[0477] As stated above, the client tier 1255 architecture may includeone or more target nodes 1260. A target node 1260 may include manydifferent types of clients such as, for example, a personal computer, aworkstation, a pervasive device, a local server (e.g. a LAN server), aproxy server, a general network server, and an EIS system. A target node1260 and a client tier 1255 may be distributed throughout the networkand may be divided into sub-tiers. A target node 1260 and a client tier1255 may include a general network server and/or an EIS systemfunctioning as a target node 1260 for a particular application,subapplication, component, module, and/or function. A target node 1260may include one or more Client Distribution Agents/Adapters (“CDA”)1265, in various configurations (discussed below), that handle thecommunication between the target node 1260 and either the CDS/ADS tier1230, another client tier 1255, and/or an EIS tier 1210.

[0478] [8] FIG. 13 is a block diagram of a data structure showing aplurality of packages according to one embodiment of the presentinvention. An application program 1300 may be divided into one or morepackages 1305, each of which may represent a portion of the application1300. In turn, a package 1305 may be composed of one or more assets. Thedata structure illustrated in FIG. 13 shows several packages 1305-1320designated P1-Pp. Each package may be composed of one or more assetsaccording to the example embodiment. For example, package P1 1320 mayinclude several assets 1325-1370. According to one embodiment, theassets in a package 1320 may have an expressed or implied logicalrelationship, e.g., shown by a call graph. For example, in package P11320, asset a.jsp 1325 may call an asset navigate.jsp 1330. Thenavigate.jsp asset 1330 may in turn call a “chuck.class” object 1335 viacall graph edge 1380, a shuang.class object 1350 via call graph edge1385, or a Java Bean 1355 via edge 1036. The chuck.class object 1335 maycall an entity bean 1340 that may access entity data 1345 in arelational database. The Java Bean 1355 may call a session bean 1360which may call an entity bean 1365 which may access reference data 1370in a relational database.

[0479] In the context of a CDS/ADS according to one embodiment of thepresent invention, a package 1305 may refer to a logical collectionassets. These assets may be grouped according to different criteria suchas, for example, the locus of execution and/or the generation of aparticular output. According to one embodiment and within the context ofa Web application, a package may be a grouping of assets used togenerate the output for at least one Web page. It may

[0480] In the context of the CDS/ADS, the term package 1305 refers to alogical collection of assets. These assets can be grouped followingdifferent criteria, such as locality of execution or the generation ofsome output. Within the context of one embodiment of a Web application,a package is a grouping of the assets that are needed to generate theoutput for one or more Web pages. It is convenient to refer to thesepackages based on the URL associated with the request for the Web pagethe assets generate.

[0481] The aforementioned structure might be used through a Web page.The Web page would allow a user to see the balance of various accounts,such as checking, savings, and retirement accounts. The page would needto access the JSP pages to build the user interface. Those JSP's wouldaccess the class files in order to perform some intermediatefunctionality, such as sorting account entries in the summary. Thesession bean 1360 would be required for managing the data associatedwith the user's connection, and possibly accessing data in therelational database, such as the account balances. The entity bean 1365would store information that represents a single data entity, such as astock price table that provides the current value of stock prices usedto calculate the balances of the retirement account.

[0482] Any one of the assets in this package may have a version 1375according to one embodiment. The version 1375 may be any known way ofdistinguishing the asset 1395. In a preferred embodiment, the version isa time stamp. Other examples of versions 1375 include locations,machine/node number, source, destination, checksum, differencingalgorithm, file name, file system extended attributes, other versioninginformation, etc., or combination of these. While packages 1305 caninclude the actual assets 1395 of the package 1305, in a preferredembodiment, this is not done. Rather, some identifier of the asset 1395may be included in a list.

[0483]FIG. 14 is a block diagram illustrating a package definition datastructure according to one embodiment of the present invention. In anexample embodiment, the package definition data structure 1400illustrated in FIG. 14 maybe a database table. In alternativeembodiments of the present invention, the package definition datastructure 1400 may take alternative forms other than a database table.

[0484] According to the example embodiment, each package specificationrecord or row 1405 of the package definition data structure 1400 maycontain at least one field. A package identifier field (package ID) 1410may uniquely identify a package and may serve as part of the key for thepackage definition data structure 1400. A package identifier field(package ID) 1410 may contain a package name and/or any otherinformation that may uniquely identify a package such as, for example, apackage number, an address of the package, an object identifier, and aURL/URI. In the example embodiment, the package ID field 1410 maycontain the URL/URI associated with the package (or asset as discussedbelow) on an EIS.

[0485] The package definition data structure 1400 may also includetiming information 1450 according to one embodiment of the presentinvention. The timing information 1450 may include any information thatwhen a respective package is delivered to one or more locations over thenetwork. Timing information 1450 may be designated in various formsaccording to different embodiments of the present invention. Forexample, an “immediate” designation 1452 specifies that the packageshould be delivered over the network as soon as the package is availablefor delivery (i.e. when the package is specified). In an alternativeembodiment, a delivery start time 1454 may be provided in the packagedefinition data structure 1400 to provide a time for the package to bedelivered over the network. According to this alternative embodiment,the “immediate” designation field 1452 may be omitted or alternatively,provided with a value equal to “not immediate.”

[0486] [9] In another embodiment, if no package timing 1450 informationis included in the package definition data structure 1400, the packagecan be immediately sent out.

[0487] In one embodiment, a delivery end time 1456 of a package may begiven. According to this embodiment, the package may be scheduled fordistribution over the network at any time prior to the delivery end time1456.

[0488] Other variations of package timing are possible according toother embodiments of the present invention. An expire time field 1458may be provided to indicate a time beyond which the particular package1405 should not be sent. A remove time field 1460 may be provided toindicate a time beyond which the package specification record 1405should be deleted, or marked unusable in the package definition datastructure 1400. In another embodiment, a refresh rate field 1462 may beprovided designating how often the package specification record 1405, ortable 1400, should be updated. Variations on the combination of theseabove fields 1452, 1454, 1456, 1458, 1460, and/or 1462 may be used forthe package timing information 1450 in other embodiments of the presentinvention.

[0489] Information about the location 1420 of a particular package mayalso be included in the package definition data structure 1400 accordingto one embodiment of the present invention. This location information1420 may identify the location on the network where the package may befound. In one embodiment, the location information may include the URLand/or URI of the package. In another embodiment, a network host namemay also be used to identify the location of a package.

[0490] In an alternative embodiment of the present invention, thepackage definition data structure 1400 may not need to define packagesof potentially multiple assets. According to this embodiment, the datastructure 1400 may describe individual assets each as a package wherethe package ID field 1410 may be replaced by an asset ID field. This maybe the equivalent of describing packages containing a single asset wherethe package description data structure 1400 may also be thought of as anasset description data structure.

[0491] In one embodiment, the package definition data structure 1400 maybe specified as an XML document. There may be an XML DTD (Document TypeDefinitions) associated with the document that specifies the allowedstructure. An Application Markup Language (“AML”) may refer to any XMLdocument that adheres to the XML DTD defined for the package definitiondata structure 1400. HTML may be defined in a similar manner as XML andmay support the specification of resources (e.g. text, other HTMLdocuments, images) that are to be gathered and displayed within thedocument. AML may be used as a greatly expanded version of HTML. SinceHTML covers only a small number of resources, the capability to defineplug-in modules for both the browser and the Web server have allowedHTML to handle a greater range of applications.

[0492] Utilizing AML, the DIS may be able to support many morecapabilities than the plug-ins that may otherwise be allowed. In someembodiments, the AML may specify the assets (i.e., resources) anapplication may need to display on a single page in a Web browser. Thedistribution of these assets to the target environment may be analogousto the downloading of assets using the HTTP protocol. However, usingAML, any general Web and/or enterprise application (especially thosedefined by the J2EE specification) may be distributed from a server to aclient (i.e., target) and may be executed in the target (e.g., client)environment without the need for additional plug-ins. Furthermore, usingthe infrastructure disclosed herein, a supporting environment may beprovided for the deployment of any of these general assets on any givenclient without the need for specialized adapters/plug-ins according toone embodiment of the present invention. In addition, using this AMLinfrastruture, which may be designed from the ground up to support Weband/or enterprise applications, any general enterprise application maybe discovered, processed, and distributed over any tier of the networkso that these enterprise applications may be deployed on any givenclient on the network and the coherency of the applications and/or dataat the enterprise system remains intact.

[0493]FIG. 15A is a block diagram illustrating an alternative packagedata structure with an Extended Environment for Packages (“EEP”)according to one embodiment of the present invention. According to thisembodiment, a package structure 1500A may include an extendedenvironment package (“EEP”) 1510A and at least one asset which may bedesignated by an asset identifier 1520A. In one embodiment, an EEP 1510Amay be an XML file as described above for the asset EE layer. An EEP1510A may also include descriptors which may describe common featuresshared by the assets in the package structure 1500A according to oneembodiment. For example, the following may be one potential EEP 1510Adefined using XML: <extended_environment package>  <common> 1530A  <name></name>   <address></address>   <size></size>  <volatile></volatile>   <runnable></runnable>   <version></version>  <user_type></user_type>   <security></security>   <priced></priced> </common>  <dependencies> 1540A   <package_dependencies> 1545A   <package></package>   </package_dependencies>  </dependencies> <references> 1550A   <reference_links></reference_links>  <reference_files></reference_files>  <reference_directories></reference_directories>  </references> <pricing> 1560A   <actual_price></actual_price>  <price_scheme></price_scheme>   <payment_details>   <payment_method></payment_method>   <credit_card_info></credit_card_info>   </payment_details>  <pricing> <security> 1570A  </securlty> </extended_environment package>

[0494] In an alternative embodiment, an EEP 1510A may have one or morecommon descriptors (e.g., 1530A in the XML code above). These commondescriptors may include a package name, address, and/or size. The commondescriptors may provide information common to all the assets in apackage 1500A. For example, are all of the assets in the packagevolatile, runnable, the same user type, and/or the same version. Commondescriptors may also indicate package level security or pricinginformation.

[0495] The EEP dependency descriptors (e.g., 1540A in the XML codeabove) may include package dependencies (e.g., 1545A in the XML codeabove) that describe other packages with which the package datastructure 1500A is associated. In an alternative embodiment, an EEP1510A may have one or more reference descriptors (e.g., 1550A in the XMLcode above). In one embodiment, the reference descriptors (e.g., 1550Ain the XML code above) may include any one or more of the following at apackage level: a reference link descriptor, a reference file descriptor,and a reference directory descriptor. The reference link descriptor mayprovide a World-Wide-Web (“WWW”) address that has contents used forprocessing of the package. The reference link descriptor may alsoprovide a WWW address that has contents used during execution of all thedigital assets in the package. The reference file descriptor may be aunique fully qualified name of a file required for reference by thepackage. The reference directory descriptor provides additional addressinformation that may be used to locate all the associated digital assetsin the package. For example, the additional address information mayinclude root or parent level directory names, which may be combined withthe leaf directory level identification given in the common namedescriptor to locate and fully qualify the path information for thedigital asset.

[0496] In an alternative embodiment, the EEP 1510A may further includepricing descriptors (e.g., 1560A in the XML code above). The pricingdescriptors may describe information about any well-known generalpricing information at a package level including one or more of thefollowing: a price, a price scheme (subscription, pay to own, pay touse, one time payment), a payment detail, and payment method (check,credit card, card number).

[0497] In another embodiment, the EEP 1510A may further include one ormore security descriptors (e.g., 1570A in the XML code above). Thesecurity descriptors may be well-known and may describe any one or moreof the following functions at a package level: encryption,authorization, and access control. Other EEP 1510A descriptors may beincluded in other embodiments of the present invention.

[0498]FIG. 15B is a UML diagram showing the transitive part-wholeassociations between certain digital assets and certain packagesaccording to one embodiment of the present invention. According to thisembodiment, a StaticPackage class 1505B may include at least oneStaticAsset 1520B as a member but may not include assets of other types.A RunnablePackage class 1510B may include least one RunnableAsset 1525Bas a member and may also include a StaticAsset 1520B and a VolatileAsset1530B. A VolatilePackage class 1530B may include at least oneVolatileAsset 1515B and may also include a StaticAsset 1520B.

[0499]FIG. 15C is a flowchart of a package specification processaccording to one embodiment of the present invention. The packagespecification process 1500C may determine whether a given package isready for immediate delivery, in which case the assets in the packageare packaged and delivered, or if the package needs to be scheduled forlater delivery. In the example embodiment, the delivery/schedule process1500C may use a message queue to “decouple” the schedule and delivery ofone or more of the packages from other functions of the system.

[0500] Steps 1505C, 1510C, and 1515C of the delivery/schedule process1500C, are an optional set of steps that may use the message queue ofthe system to place package specification records into a systemdatabase. These steps permit the system to do other functions withoutregard for the time used for receiving or storing the packagespecification records in the database—i.e., the decoupling. First, thepackage specification record may be written 1505C to the message queue.As the system processes the message queue, the package specificationrecord 1505C is read 1510C from the message queue and then written 1515Cto a package specification database record (in the system database) ofthe same format as the package definition data structure.

[0501] In the example embodiment, the package specification record maybe written to the message queue by some automated process, or, using atool to aid in the specification. For example, the export processdescribed below may be one such automated process.

[0502] Step 1520C examines the copy of the package specification recordsin the system database to determine if the package specified by thepackage specification record is ready for immediate delivery. This canbe done in various ways. In one embodiment, the immediate field of thepackage definition data structure may be examined. If the immediatefield has a value of “immediate”, the package specified by the packagespecification record may be sent 1530C to an asset packaging process(see below). If not, the specified package may be scheduled 1535C. Inthe example embodiment, the specified package may be scheduled byidentifying the package in a packaging queue.

[0503] In alternative embodiments, delivery readiness 1520C, 1525C,maybe determined by comparing the current time to various fields in thetiming information of the package definition data structure discussed inFIG. 14. For example, if the current time is greater than a deliverystart time, the package may be sent to the asset packaging process1530C—if not, the package may be scheduled 1535C. Alternatively, if thecurrent time is greater than a delivery start time and less than adelivery end time for a package, the package may be sent to the assetpackaging process 1530C—if not, the package may be scheduled 1535C. Ifthe current time is less than a delivery end time for the package, thepackage may be sent to the asset packaging process 1530C—if not, thepackage may be scheduled 1535C or deleted. Other “delivery immediate”checks 1525C may be incorporated in other embodiments of the presentinvention. In the example embodiment, the package may be scheduled byplacing the package in a packaging queue 1535C. In an alternativeembodiment, the packaging process may be performed before the packagetiming information is examined, leaving that examination for deploymenttime.

[0504]FIG. 15D is a block diagram of a packaging queue according to oneembodiment of the present invention. In an example embodiment, thepackaging queue 1550D illustrated in FIG. 15D may be a database table.In alternative embodiments of the present invention, the packaging queue1550D may take alternative forms other than a database table. Thepackaging queue 1550D may have one or more packaging queue records orrows 1555D. Each of these packaging queue records 1555D may have apackage ID 1552D and a packaging queue start time 1554D. In the exampleembodiment, step 1535C in FIG. 15C places data into the package ID field1552D. In one embodiment, the queue start time 1554D may be determinedby a deployment engineer. The packaging queue may contain and holdrequests for the deployment of packages until they are scheduled fordeployment at which time the package queue record 1555D may be deleted.

[0505] According to the example embodiment of the present invention, thedata structures discussed herein, such as the packaging queue, may beembodied as tables or views in a database management system such as, forexample, a relational database management system (“RDBMS”). This maypermit operations on the data structures using known databasetechniques, for example SQL queries in any known relational databasemanager.

[0506]FIG. 15E is a flowchart of an asset packaging process according toone embodiment of the present invention. The asset packaging process1500E packages (i.e., groups) the assets making up a packages that needsto be delivered immediately or that is scheduled for later delivery ifthe start time is less than or equal to the current time, or if anyother delivery requirements are met according to one embodiment of thepresent invention. The asset packaging process 1500E may use as input arecord from the packaging queue (e.g., in the case of the “later”delivered packages) or the package ID of a package specification recordfor a package that is being delivered immediately.

[0507] The asset packaging process 1500E may first identify 1505E thepending packages (or assets, if a “single asset package”). A pendingpackage may be any package on the packaging queue whose start time maybe less than or equal to the current time, any package that may be knownto need immediate delivery, or any package meeting any other deliveryrequirement.

[0508] Optional step 1510E determines which of the pending assets needsto be delivered at the current time. A pending asset may be any asset ina pending package. In a preferred embodiment, the pending asset may beany asset in a pending package that is not already located at anynode/client requiring the respective asset.

[0509] If there are no pending assets, the process 1500E waits for aperiod of time and then performs the check 1510E again. This period oftime may be determined by application requirements. In the exampleembodiment, the period of time may be the time between the current timeand the time of delivery for the asset closest in time for scheduleddelivery, e.g. listed in the packaging queue.

[0510] If it is determined that there are pending assets, the processproceeds to step 1515E which makes the process 1500E consistent whilethe assets are being packaged for delivery. In one embodiment, theclient/target deployment queue (e.g., 1000 in FIG. 10) may be locked toachieve consistency. In an alternative embodiment, a distributed lockmay be used to support clustering of the CDS/ADS. In other embodiments,any standard known contention resolution method may be used, e.g.transactional locks, synchronization, semaphores, mutual exclusion, etc.

[0511] In an alternative embodiment, if there are pendingpackages/assets that need to be distributed, any changes in the nodes(e.g. clients) that are to receive these packages/assets have to befixed for a while in order to maintain consistency. In the exampleembodiment, the “lock” 1515E on a client/target deployment queue mayaccomplish this. The “lock” 1515E prevents any writing to or deletingfrom the client/target deployment queue until the lock is removed.

[0512] In step 1520E, the pending assets may be determined. The assetsmay be determined for the pending packages. In one embodiment, onlythose assets that are in a pending package that are not included in oneor more node/client registers for the respective asset are determined asbeing pending assets. In the example embodiment, only those assets thatare in a pending package that are not included in one or morenodes/clients registered for the respective asset, and are not in anasset cache, e.g. accessible by the server, are determined as pending.

[0513] In one embodiment, this determination may be done by logicalintersections between the set of assets in pending packages and a set ofregistered assets (associated with specific nodes). This can be done byusing well-known database techniques, for example SQL queries in anyrelational database manager.

[0514] In one embodiment, some of the information in the packagedefinition data structure may be specified by an external system in theform of a text based data structure such as XML. Additionally, theinformation contained in the package record, the package content datastructure, and the asset definition data structure may be represented inrelational database tables for the purpose of performing set operationson this and other data in the CDS/ADS data store (i.e., the database).For example:

[0515] The reference numbers in the following SQL create statementscorrespond to the reference numbers in FIGS. 6, 7, & 14: CREATE TABLEPACKAGEDESCRIPTOR ( 1400 PACKAGE_ID VARCHAR(32) NOT NULL, 1410 IMMEDIATECHAR(1) NOT NULL, 1452 URL VARCHAR(200) NOT NULL, 1420 REFRESH_RATEINTEGER, 1462 START_DT TIMESTAMP NOT NULL, 1454 STOP_DT TIMESTAMP, 1456EXPIRED_DT TIMESTAMP, 1458 REMOVE_DT TIMESTAMP, 1460 PRIMARY KEY(PACKAGE_ID) CREATE TABLE PACKAGEASSETS ( 600 PACKAGE_ID VARCHAR(32) NOTNULL, 630 ASSET_ID BIGINT NOT NULL, 620 PRIMARY KEY(PACKAGE_ID,ASSET_ID) CREATE TABLE ASSETDESCRIPTOR ( 700 ASSET_ID BIGINTNOT NULL, 720 ASSET_TYPE VARCHAR(3) NOT NULL, 750 ASSET_NAMEVARCHAR(100) NOT NULL, 740 TIMESTAMP TIMESTAMP, PRIMARY KEY (ASSET_ID)

[0516] The use of primary keys as in the above tables is a well-knownway of defining how a table may be stored and accessed.

[0517] For the purpose of this embodiment, two relational databaseviews, VIEW_S1 and VIEW_S2, are created. Step 1520E uses these views todetermine which assets are candidates for client deployment. These viewsare described as follows:

[0518] CREATE VIEW VIEW_S1 (PACKAGE_ID, URL) AS

[0519] SELECT PACKAGE_ID, URL FROM PACKAGEDESCRIPTOR

[0520] WHERE START_DT<CURRENT TIMESTAMP

[0521] CREATE VIEW VIEW_S2 (ASSET_ID) AS

[0522] SELECT DISTINCT ASSET_ID FROM PACKAGEASSETS

[0523] WHERE PACKAGE_ID IN

[0524] (SELECT PACKAGE_ID FROM VIEW_S1)

[0525] VIEW_S1 may be a subset of the data contained in thePACKAGEDESCRIPTOR table (e.g. 1400). The subset may be obtained byselecting those package ID's that correspond with start dates later thanthe current date.

[0526] VIEW_S2 may be a subset of the data contained in thePACKAGEASSETS table (e.g. 600). The subset may be obtained by selectingthose asset ID's in the PACKAGEASSETS table that have package ID'scontained in view VIEW_S 1.

[0527] Optional step 1525E clears a deployable asset data structure.This may be done to prevent duplicate entries in the table and toprevent the table from over filling.

[0528] In an alternative embodiment, only the entries in the deployableasset data structure associated with the package or packages beingdistributed are cleared. This may be done to prevent duplicate entriesin the table and to prevent the table from over filling.

[0529] Step 1530E may retrieve a list of pending assets (e.g., result ofintersection, selecting the contents of the VIEW_S2 view into theASSETDESCRIPTOR table 700). Step 1535E may send a request to an EIS forthe current version of the assets on the list. In an application wherethe version of the asset may be unimportant, step 1535E may be omittedin one embodiment of the present invention. The version/timestamp field760 of the asset definition data structure may be left empty.

[0530] In an alternate embodiment, the SQL queries used to define theviews could be combined into a single SQL query. Such a query could beexecuted to obtain the results and insert those results into, forexample, the final ASSETDESCRIPTOR table.

[0531] In the example embodiment, step 1535E may send the list ofpending assets to the EIS distribution agent. The EIS distribution agentmay then update 1540E the list with the current version. In oneembodiment, the EIS distribution agent compares the asset IDs (e.g. filenames) on the list to the current versions in the EIS. The EISdistribution agent may then write the current version of the respectiveasset (asset ID) to the list in the version field of the assetdefinition data structure (760 in FIG. 7). The list may be then returned1340 to the CDS/ADS by the EIS export agent (see the description in FIG.16, 1600, below).

[0532] The CDS/ADS uses the list with the current version of the assetsto update the deployable asset data structure (800 in FIG. 8). In oneembodiment, the CDS/ADS then determines the “final” deployable assets,which are the current versions of the assets in the deployable assettable minus the assets in the CDS/ADS asset cache that match. This maybe done by subtracting those assets in the deployable asset datastructure that are available to the CDS/ADS in a cache memory. Thisfinal deployable asset list may be sent to the appropriate EIS. For eachasset on the list, an export asset adapter (discussed below) may becalled for that asset, based on the asset type. The asset adapterpersists the respective asset to a data structure that the EISdistribution agent sends to the CDS/ADS. The data structure may bedetermined by the asset type specific to the asset that is being used.

[0533] [10] In step 1545E, the CDS/ADS may make a request of the EISexport adapter/agent to provide the assets listed on the currentdeployable asset data structure. Once these assets are received from therespective EIS, the CDS/ADS may store 1550E these assets in memoryavailable to the CDS/ADS.

[0534] In the example embodiment, a cache may be used to store theassets on disk or in memory. The CDS/ADS may then write the deployableasset data structure to the asset cache data structure in the CDS/ADS.The CDS/ADS may write 1555E the target node IDs that require assets tothe client/target deployment queue (1000 in FIG. 10). According to theexample embodiment, the CDS/ADS may now have cached in one or moreavailable memories all of the assets required by all of the target nodesat a given time. At this point, any locking step may be reversed 1560E,e.g. the client/target deployment queue may be unlocked. In otherembodiments, the client locks may also be removed 1560E at this time.

[0535] In the context of the CDS/ADS, the term agent refers to a processor set of processes executing on a node, responding as a server andtasked with completing some significant job on behalf of the requestingprocess.

[0536]FIG. 15F is a flowchart of a client deployment process (“CDP”)according to one embodiment of the present invention. The clientdeployment process 1500F may be used to deploy assets from the CDS/ADS,or distribution tier, to a respective client node. These assets, orasset fragments (as described below), are moved from the CDS/ADS to theclient node as data structures, and the movement may be achieved throughwell-known network programming methods. In one embodiment, a clientdistribution agent (“CDA”), e.g. deploy, runs on a respectiveclient/target node in order to determine whether assets need to beobtained from the CDS/ADS.

[0537] The client deployment process first 1500F determines if there areany assets pending for delivery to a specific target node. In oneembodiment, the client deployment process 1500F queries 1520F theclient/target deployment queue for its client identifier. If theidentifier is on the queue, this indicates that the CDS/ADS has assetspending for delivery to the respective target node. Here, a pendingasset may be any asset that has been identified and moved from the EISto the CDS/ADS in steps 1520E-1555E of FIG. 15E. In a preferredembodiment, the asset may be associated with a package that has adelivery timestamp equal to or less than the current time, and which hasnot already been deployed to the client. The process may be able todetermine if the asset has been delivered to the client by checking thelist of assets and their timestamps, which may be stored in the clientasset table (discussed below) which resides on the server.

[0538]FIG. 15G is block diagram illustrating a client asset tableaccording to one embodiment of the present invention. The client assettable 1500G may reside on the CDS/ADS and, in the example embodiment, asa database table structure as defined in the table create statement,below. CREATE TABLE CLIENTASSETS ( CLIENT_ID VARCHAR(32) NOT NULL, 1452ASSET_ID BIGINT NOT NULL, 1454 TIMESTAMP TIMESTAMP NOT NULL, 1479PRIMARY KEY (CLIENT_ID, ASSET_ID)

[0539] The client deployment process 1500F contacts the CDS/ADS in step1510F in order to determine if there are assets pending for the targetnode in step 1520F. Each target node (e.g., client) has a target/clientID (e.g., 1020 in FIG. 10) associated with the. The target node may ask1520F the CDS/ADS if there is a message corresponding to thetarget/client ID in the client/target deployment queue.

[0540] [11] In step 1530F the target node agent residing on the client1500F may determine if a message was pending in the client/targetdeployment queue. If a message is not pending, the client deploymentprocess 1500F proceeds to step 1540F. If a message is found (isindicated) in the client/target deployment queue for the respectiveclient/target node, the client deployment process 1500F proceeds to step1550F.

[0541] If there are no entries in the client/target deployment queue forthe respective client/target node, the process 1500F may proceed to step1540F. In step 1540F, the client deployment process 1500F waits for amessage to appear in the client/target deployment queue. The clientdeployment process may wait a predetermined amount of time beforechecking the client/target deployment queue. In one embodiment, thepredetermined amount of time can be calculated by determining when thenext package that needs to be delivered.

[0542] In an alternative preferred embodiment, the client deploymentprocess 1500F will be given a hint as to how long the agent should wait1540F before polling the CDS/ADS for the status of the client/targetdeployment queue. The hint could be algorithmically derived based on theperformance requirements of the application that is being deployed.

[0543] In Step 1550F, the CDA requests an asset descriptor manifest(ADM) from the CDS/ADS (described below in FIG. 15H). The assetdescriptor manifest (ADM) may be used by the CDA to communicate with theCDS/ADS about which assets or fragments of assets are yet to betransferred from the CDS/ADS to the respective client/target node viathe CDA (distribution tier).

[0544]FIG. 15H is a block diagram illustrating the asset descriptormanifest data structure according to one embodiment of the presentinvention. The asset descriptor manifest may be a data structure thatassociates asset IDs 1554H and offsets 1556H and is used in a oneembodiment of the invention. The ADM has records 1553H that may containan asset ID field 1554H, an offset field 1556H, and, in a oneembodiment, an asset type field 1558H.

[0545] See FIG. 14A. The Asset Descriptor Manifest (ADM) 1490 may bemade of a list of Asset Manifest Entries (AME, one per asset) 1453. Apreferred AME 1453 has the following fields:

[0546] Offset 1556H: offset into file containing cached asset, e.g. the“boundaries of the asset fragment”.

[0547] Cache name 1578H: name of cache file containing the asset.

[0548] Asset_Id 1554H: uniquely identifies an asset.

[0549] Timestamp 1579H: set to asset timestamp (or version).

[0550] Asset Type 1558H: In one embodiment, this field is not includedin the ADM 1500H but the information may be obtained from other datastructures for this embodiment.

[0551] The following describes how these fields are used. The CDArequests an ADM from the CDS/ADS when it finds an entry for it in theclient/target deployment queue. The CDS/ADS initializes the ADM with alist of AMEs, one per asset to be deployed to the client. Each AME maybe initialized as follows:

[0552] Offset=0

[0553] Cache name name of cache file containing the asset.

[0554] Asset_Id=asset ID.

[0555] Timestamp: set to asset timestamp (or version).

[0556] The CDA then starts requesting the archive containing the assets.The cache name, timestamp, and asset Id field in the AMEs don't change.The “offset” field reflects the offset into the cache file containingthe asset. When all of the asset has been transferred, the offset forits AME may be set to −1. When all assets on the ADM have beentransferred, all AMEs should have a −1 in their offset field.

[0557] In a preferred embodiment, the CDA doesn't interpret any fieldsin the AME and the AME is used by the CDS/ADS only. The CDA monitors theentries in the archive file it gets from the CDS/ADS. An asset mayspread across several consecutive calls to the CDS/ADS. When the CDAdetects that an archive entry name has changed, then it knows that anasset transfer has completed. The clients keeps track of when archiveentries change to be able to reconstruct the archive on the client side.However, in a preferred embodiment, the assets are not deployed untilthe complete archive has been transferred to the client. Once the clientdetects that the archive transferred has been completed, it deploys theassets.

[0558] In a preferred embodiment, the process uses the views below. Theyare similar to those views used to determine what assets need to becached (this is, brought over from the EIS), described elsewhere in thisdisclosure. However, the views below are used to determine what assetsneed to be deployed.

[0559] VIEW_S3A returns client assets that are up to date with respectto ASSETCACHE table.

[0560] [12] CREATE VIEW VIEW_S3A (CLIENT_ID, ASSET_ID, TIMESTAMP ) ASSELECT CLIENTASSETS.CLIENT_ID, CLIENTASSETS.ASSET_ID,CLIENTASSETS.TIMESTAMP FROM ASSETCACHE JOIN CLIENTASSETS ONCLIENTASSETS.ASSET_ID=ASSETCACHE.ASSET_ID WHERECLIENTASSETS.TIMESTAMP=ASSETCACHE.TIMESTAMP AND CLIENTASSETS.ASSET_ID INSELECT ASSET ID FROM VIEW_S6 WHERECLIENTASSETS.ASSET_ID=VIEW_S6.ASSET_ID

[0561] VIEW_S7A may be similar to VIEW_S7, but with respect toASSETCACHE: it returns a list of assets to be deployed per client.

[0562] CREATE VIEW VIEW_S7A (CLIENT_ID, ASSET_ID ) AS

[0563] SELECT CLIENT_ID, ASSET_ID FROM VIEW_S6 WHERE ASSET_ID NOT IN(SELECT ASSET_ID FROM VIEW_S3A WHEREVIEW_S3A.CLIENT_ID=VIEW_S6.CLIENT_ID) AND ASSET_ID IN SELECT ASSET_IDFROM VIEW_S2)

[0564] VIEW_S9A may be similar to VIEW_S9 but with respect to ASSETCACHEtable: it returns list of assets to be deployed per client (with respectto ASSETCACHE table with extra information about cache jar.

[0565] CREATE VIEW VIEW_S9A (CLIENT_ID, ASSET_ID, JAR, TIMESTAMP ) AS

[0566] SELECT VIEW_S7A.CLIENT_ID, VIEW_S7A.ASSET_ID,

[0567] ASSETCACHE.JAR, ASSETCACHE.TIMESTAMP FROM

[0568] ASSETCACHE, VIEW_S7A WHERE ASSETCACHE.ASSET_ID=VIEW_S7A.ASSET_ID

[0569] In Step 1560F, the CDS/ADS performs the set operations on theCDS/ADS data store tables (see below in this flowchart description) thatare needed to determine which assets need to be sent to the CDA. Theseset of operations involve determining which assets are registered (inthe CLIENTREGISTRY table) for the client ID, yet are not already on theclient node. These asset ids are assembled (by inserting them into alist) into an ADM and returned to the CDA as step 1565F.

[0570] In step 1570F, the CDA calls the CDS/ADS to get the next asset,set of assets, or asset fragment from the CDS/ADS. The specification ofthe required assets may be achieved by sending the ADM to the CDS/ADSalong with request for assets.

[0571] In some cases the asset may be very large and can spread acrossmore than one client/target call to the CDS/ADS. In these cases, theCDS/ADS will send only part of the asset, i.e. an asset fragment to theclient/target. The CDS/ADS marks the manifest so that the exactfragments sent to the client/target are precisely known. In this way,the CDS/ADS knows which fragments of the asset it needs to send to theclient. In some preferred embodiments, the client/target (CDA) keepstrack of the asset ID on the fragment, typically provided on a header.When the CDA detects a change in the asset ID, the CDA knows that a newasset is beginning. In some embodiments, the asset may be deployed(placed in the appropriate client/target environment depending on theasset type) as soon as the entire asset is received by theclient/target. In other embodiments, the client/targets waits for allthe assets on the manifest to arrive at the client/target beforedeploying all these assets at one time.

[0572] In step 1575F, the CDS/ADS examines the ADM and returns a datastructure to the CDA. The examination of the ADM involves finding thenext asset entry for which offset=0. The CDS/ADS then looks up the assetID in the CDS/ADS database (e.g. cache) to find where the asset residesin the CDS/ADS asset cache. The CDS/ADS then reads the asset from thecache and builds a data structure for transferring the asset to the CDA.If the asset is large, the CDS/ADS may only read the asset partially,recording an offset indicating the position the CDS/ADS was at when itcompleted, in this way, the CDS/ADS could continue sending the assetfrom the offset where it stopped. If there are more assets, the CDS/ADSrepeats the reading and recording process until it has read a sufficientnumber of assets, either meeting the order specified in the manifest oruntil the data structure is of a sufficiently large size. The CDS/ADSthen proceeds to send the data structure containing the manifest andassets (and/or asset fragments) to the CDA.

[0573] In step 1580F, the CDA receives the data structure that is theresult of the request in step 1575F, and proceeds to interpret the datastructure. The CDA examines the ADM for the next entry that does nothave an offset of −1. If a non-zero entry is the result, the clientwrites the asset associated with the asset in the entry to local storageand runs the deploy asset adapter corresponding to the asset typeindicated in the ADM entry for the current asset. See the description ofFIG. 17 below. Note that this way of determining offset may be onepreferred embodiment and that there are many ways of performing thisfunction known to those skilled in the art having the benefit of thisdisclosure.

[0574] If there are entries remaining in the manifest that have anoffset of zero 1585F, the CDA proceeds to step 1570F. The referencenumbers in the following SQL create statement correspond to thereference numbers in various locations in this description:

[0575] CREATE TABLE ASSETCACHE (

[0576] ASSET_ID BIGINT NOT NULL, 1372, 1172,1194, 1454

[0577] TIMESTAMP TIMESTAMP NOT NULL, 1374, 1179, 1479

[0578] JAR VARCHAR(100) NOT NULL,

[0579] PRIMARY KEY (ASSET_ID)

[0580] The primary key in the above tables are a well-known way ofdefining how a table may be stored and accessed.

[0581] For the purpose of this embodiment, two relational databaseviews, VIEW_S9, VIEW_S7, VIEW_S5A, VIEW_S3, VIEW_S6 and VIEW_S4, arecreated. Step 1560F uses these views to determine which assets arecandidates for client deployment. These views are described as follows:

[0582] CREATE VIEW VIEW_S9 (CLIENT_ID, ASSET_ID, JAR) AS

[0583] SELECT VIEW_S7.CLIENT_ID, VIEW_S7.ASSET_ID, ASSETCACHE.JAR FROM

[0584] ASSETCACHE, VIEW_S7 WHERE ASSETCACHE.ASSET_ID=VIEW_S7.ASSET_ID

[0585] CREATE VIEW VIEW_S7 (CLIENT_ID, ASSET_ID, ACTION) AS

[0586] SELECT CLIENT_ID, ASSET_ID, ‘ADD’ ACTION

[0587] FROM VIEW_S6

[0588] WHERE

[0589] ASSET_ID NOT IN

[0590] (SELECT ASSET_ID

[0591] FROM VIEW_S3

[0592] WHERE VIEW_S3.CLIENT_ID=VIEW_S6.CLIENT_ID)

[0593] AND ASSET_ID IN

[0594] (SELECT ASSET_ID FROM VIEW_S5A)

[0595] CREATE VIEW VIEW_S5A (ASSET_ID, TIMESTAMP ) AS

[0596] SELECT ASSET_ID, TIMESTAMP FROM

[0597] DEPLOYABLEASSETS WHERE ASSET_ID NOT IN

[0598] (SELECT ASSET_ID FROM VIEW_S4)

[0599] CREATE VIEW VIEW_S3 (CLIENT_ID, ASSET_ID, TIMESTAMP ) AS

[0600] SELECT CLIENTASSETS.CLIENT_ID, CLIENTASSETS.ASSET_ID,

[0601] CLIENTASSETS.TIMESTAMP FROM DEPLOYABLEASSETS

[0602] JOIN CLIENTASSETS ON

[0603] CLIENTASSETS.ASSET_ID=DEPLOYABLEASSETS.ASSET_ID

[0604] WHERE CLIENTASSETS.TIMESTAMP=DEPLOYABLEASSETS.TIMESTAMP

[0605] AND CLIENTASSETS.ASSET_ID IN

[0606] (SELECT ASSET_ID FROM VIEW_S6 WHERE

[0607] CLIENTASSETS.ASSET_ID=VIEW_S6.ASSET_ID)

[0608] CREATE VIEW VIEW_S6 (ASSET_ID, CLIENT_ID ) AS

[0609] SELECT DISTINCT ASSET_ID, CLIENT_ID FROM PACKAGEASSETS JOIN

[0610] CLIENTREGISTRY ON

[0611] PACKAGEASSETS.PACKAGE_ID=CLIENTREGISTRY.PACKAGE_ID

[0612] CREATE VIEW VIEW_S4 (ASSET_ID, TIMESTAMP ) AS

[0613] SELECT ASSET_ID, TIMESTAMP FROM VIEW_S3

[0614] GROUP BY ASSET_ID, TIMESTAMP

[0615] HAVING COUNT(ASSET_ID )=

[0616] (SELECT COUNT(DISTINCT CLIENT_ID ) FROM VIEW_S6

[0617] WHERE view_s6.asset_id=view_s3.asset_id)

[0618] VIEW_S6 may be used to determine the asset ids that the client isregistered to receive during client deployment. VIEW_S6 determines theassets id's from the CLIENTREGISTRY table whose package ids match thosein the PACKAGEASSET table.

[0619] VIEW_S3 may be the embodiment of the set operations thatdetermine which assets are up to date. The asset ids specified in theDEPLOYABLEASSET table are intersected using asset id with the asset idsand matching timestamp in the CLIENTASSETS table. The result of thisintersection may then intersected with the CLIENTASSET table assets idsthat are also contained in the VIEW_S6 view.

[0620] VIEW_S4 may be the embodiment of the set operations thatdetermine the assets that will not be delivered to any client. Therecords from the VIEW_S3 view are grouped by distinct asset ids andtimestamps. The resulting values are counted and compared for equalitywith the count of distinct client ids in VIEW_S6 that have matchingasset ids in VIEW_S3.

[0621] VIEW_S5A may be the embodiment of the set operations thatdetermine the deployable assets that are not included in the assetcache. Records from the DEPLOYABLEASSETS table are retrieved based ontheir asset ids not being found in the VIEW_S4 view.

[0622] VIEW_S7 may be the embodiment of the set operations thatdetermine the assets that need to be deployed to each client based onclient id. Records from the VIEW_S6 view are selected based on theirasset ids that are not found in an intersection of the records found inVIEW_S3 whose client ids are also in the VIEW_S6 view. The results arethen intersected with the VIEW_S6 asset ids that are in the VIEW_S5Aview.

[0623] VIEW_S9 may be the embodiment of the set operations thatdetermine which assets are contained in the asset cache on the CDS/ADS.Records in the VIEW_S7 view are selected based on whether their assetids match those in the ASSETCACHE table.

[0624] When step 1560F performs the select operation on the VIEW_S9view, the dependency chain implicit between the VIEWS may be traversedcreating a single set operation when executed in an optimized relationaldatabase management system.

[0625] In an alternate embodiment, the SQL queries used to define theviews could be combined into a single SQL query. Such a query could beexecuted to obtain the results indicating which assets need to be addedto the ADM.

[0626]FIG. 15I is a flowchart of the node registration process (NRP)according to one embodiment of the present invention. FIG. 15J is ablock diagram of a node registration specification data structureaccording to one embodiment of the present invention. The NRP 1500Icovers the specification of the node registration specification datastructure 1500J and the committing of this node registrationspecification data structure 1500J to the data store on the CDS/ADS.

[0627] In step 1510I, the node registration specification (NRS) datastructure 100J may be specified through either manual or automatedprocesses. The NRS may be comprised of a node id 1524J and a package id1526J. The structure 1500J represents the packages that should bedelivered to a particular node. For example, this(ese) package(s) wouldrepresent the package(s) needed to provide the client/target one or moregoods (e.g. movies) and/or services (e.g. financial account) informationthat the client/target expects (e.g. signs up for, subscribes to, etc.).

[0628] In one embodiment, the NRS data structure 1500J may be specifiedas an XML document.

[0629] In step 1520I, the NRS data structure 1500J may be placed on thespecification message queue on the CDS/ADS.

[0630] In step 1530I, the CDS/ADS reads the NRS data structure 1500Jfrom the message queue.

[0631] In step 1540I, the CDS/ADS creates a record in the CLIENTREGISTRYtable below.

[0632] The reference numbers in the following SQL create statementcorrespond to the reference numbers in FIG. 15J: CREATE TABLECLIENTREGISTRY ( 1522 CLIENT_ID VARCHAR(32) NOT NULL,  1524J PACKAGE_IDVARCHAR(32) NOT NULL,  1526J PACKAGE_STATUS VARCHAR(32) NOT NULL,PRIMARY KEY (CLIENT_ID,PACKAGE_ID)

[0633] The primary key used in the above tables is a well-known way ofdefining how a table may be stored and accessed.

[0634] In the context of the CDS/ADS, the term adapter refers to a“component-ized” utility program that provides some standardizedinterface for any given asset type. In this way, the adapter can allowthe CDS/ADS to handle any asset type that needs to be distributed overthe network. Examples of novel adapters used with this inventioninclude: client deployment, export, version, client deployment, process,target, synchronize, discovery, adjustment, publishing, and subscriber.Each of these adapters is further described herein.

[0635]FIG. 16A is a flowchart of the version asset adapterprocess/method (VAM) according to one embodiment of the presentinvention. The VAM defines the process of generating version informationfor an assets based on the asset type. Note that the VAM may need toretrieve version information in different ways based on the type ofasset. In a preferred embodiment, the VAM receives a request 1661 for anasset version that typically comprises an asset name, an asset type, anargument string, and a version, e.g. a timestamp. The VAM then calls aVersion Asset Adapter (VAA) 1662 associated with the asset type. The VAAthen provides current version information of the asset (named by theasset name) that conforms to the versioning convention of the version inthe request.

[0636] For example, if the versioning convention of the asset type inthe EIS is a timestamp like the version convention of the request, theVAA looks for the most current version of the asset (asset name) in theEIS and returns 1664 the current timestamp for that respective asset.For instance, if the asset type is generally associated with anindividual file, the timestamp of the file may be used to represent theversion of the asset.

[0637] However, if the asset (having the asset name) in the EIS does notfollow the same version convention, e.g. does not use a timestamp forversion information when a timestamp is in the request, the VAA has toresolve 1663 the difference by converting or determining indirectly theEIS version information into the convention of the version in therequest.

[0638] For example, if the asset type is data, a timestamp is not usedin the EIS and must be converted 1663 by the VAA based on some otherversioning scheme. In a preferred embodiment, the VAA generates achecksum for the data that needs to be extracted. Note that the assetwas previously provided with a check sum that was used in the versioninformation in the request. Therefore, the VAA can compare these twocheck sums to determine if changes have occurred in the data. Thus,check sun information may be used as a “timestamp” to determine the mostcurrent version of the data asset. Other techniques used for versioningare envisioned.

[0639] Specifically, the EIS VAA can perform a query and write theresults to a data structure 1664. A simple checksum can be run on theresulting data as if it were a contiguous stream of bytes. The checksumcan be sent to and stored on the CDS/ADS. Subsequently, when the CDS/ADSqueries the VAA for version information, the VAA can use the checksum todetermine if the data has changed. If the data has not changed, theolder timestamp may be returned or some other indication may be madethat the data has not changed. Otherwise, if the data has changed, a newtimestamp may be returned. Thus, the returned timestamp may be changedor not depending on whether the checksum has changed or not. In thismanner, a timestamp may be used to determine the most current version ofthe data, even though another means, e.g. the check sum, may really beused to determine the version of the data.

[0640]FIG. 16 is a flowchart of the EIS export asset adapterprocess/method (EAM) according to one embodiment of the presentinvention. The EAM defines the process of creating a generalized datastructure from any number of assets based on the asset type. In apreferred embodiment, the data structure is that of FIG. 2 describedabove, and will be referred to as such in the description below withoutloss of generality.

[0641] The process selects the appropriate export asset adapter (EAA),the implementation specific construct for this adapter method, based onthe asset type the adapter will create a data structure appropriate fordistribution. The data structure will depend on the asset type. Examplesof these structures are described in the table above in the descriptionof FIG. 2.

[0642] In step 1605, the EIS deployment agent (EDA) determines if theasset is any one of the following types: static content, JSP (JavaServer Page), or Java Bean. This determination may be done by looking atthe asset type field in the asset specification data that was sent withthe request for exportation. If the asset is one of the above types, theEDA tasks the appropriate EAA to perform step 1610. Otherwise, the EDAproceeds to step 1615. In a preferred embodiment, the asset type may beprovided with the request for exporting the respective asset thatinitiates the EAM.

[0643] In step 1610, the EAA copies the file specified by the assetspecification. The EDA then copies the file into an appropriate datastructure and proceeds to step 1645. Other asset types that can beprocessed by copying without an extended environment also would behandled this way.

[0644] In step 1615, the EDA determines if the asset type is either SB(Session Bean) or EB (Entity Bean). If the asset is one of these types,the EDA tasks the appropriate EAA to perform step 1625. Otherwise, theEDA proceeds to step 1620. In a preferred embodiment, asset types aredefined in any of the package specifications (e.g. 1190, 1100);therefore, the CDS/ADS specifies the appropriate asset type in therequest for the EIS assets.

[0645] In step 1620, the EDA determines if the asset type is either RD(Reference Data) or ED (Entity Data). If the asset is one of thesetypes, the EDA tasks the appropriate EAA to perform step 1635.

[0646] In step 1625, the EAA extracts implementation class files for anEJB, and then extracts the EJB deployment descriptor and the stubs andskeletons (J2EE/EJB deployment descriptor and the stubs and skeletonswell know part of the EJB specification) from an archive specified bythe asset specification. The EDA then copies the EJB implementationclass file, as specified by the asset name field and dependent on theEJB implementation on the EIS node, into the LD layer of the asset datastructure. EDA copies the J2EE/EJBdeployment descriptor and stubs andskeletons into the extended environment part of the asset datastructure. The EAA then proceeds to step 1630.

[0647] In step 1630, the EAA determines if the asset type is SB, if so,the EAA proceeds to step 1635, otherwise, the EAA proceeds to step 1645.The type may be determined by examining the specification.

[0648] In step 1635, the EAA determines if the asset specification has aspecification of a “where clause”. The “where clause” is a string thatspecifies information that may be used to perform an SQL query. If a“where clause” is specified the EAA proceeds to step 1640, otherwise theEAA proceeds to step 1650. Where clauses are well-known in SQL.

[0649] In step 1640, the EAA selects data from a table in a database onthe EIS node. The table for the selection may be specified in the assetspecification and the “where clause” for specifying a subset of the datamay be from step 1635. The EAA places the records resulting from thedatabase record selection in the respective LD layer.

[0650] In step 1645, the EDA takes the data structure created in theproceeding step and sends the data structure to the CDS/ADS.

[0651] In step 1650, the EAA selects all the records from the tablespecified in the asset specification. Then the EAA proceeds to step1645.

[0652]FIG. 16B is a flowchart of an alternative preferred EIS exportadapter process according to one embodiment of the present invention.

[0653] [13] While process 1600 creates a package data structure (above),in an alternative embodiment, the export adapter process 1600B creates1650B one or more preliminary package specifications of one or moredigital assets. In this preferred embodiment, a packaging adapterprocess 1600C may be used to create the final package of digital assets.

[0654] The process 1600B starts by traversing an intermediaterepresentation 2100C (below) of one or more parts 100F of a computersystem created by the discovery process while applying one or morecontext rules 1610B to determine a context of the parts 100F. Processesfor traversing graphs are well-known. For example, see well-known worksby Prim, Kruskal, Dijkstra, et. al. In step 1615B, the process 1600Bdetermines if the context is a standard specified context.

[0655] A standard specified context describes a common topologicaldeployment pattern of EIS files and data throughout the file systems ofa computer or network of computers. In addition, a context containsother rules and information (described below). Deployment patternscovering the files and data for many computer system parts 100F, andparticularly, for most complex business application software productssuch as EIS application servers, EIS Web servers, DBMS products, CRMproducts, etc, have become standardized over time due to the formalrecommendations of standards bodies, through popular acceptance becomeindustry custom, or through the stated requirements of the providers ofsuch system part or software.

[0656] For example, when the Sun Microsystems product Java Web server isinstalled, a specific directory on the computer must be identified asthe directory where HTML files are placed. Through custom, thisdirectory has been named “public_html”. Other, later Web and applicationserver software products followed this custom, and now, most Web andapplication server products require or recommend placement of HTML filesin a directory named “public_html”. Other directory names have becomestandard locations for specific files or types of files in Web andapplication servers. These include “cgi-bin” as the location of variousscript files, and “servlet” for Java language servlet files.Web/application server products which follow one or more of thesedirectory naming customs include Inprise AppServer, BEA's Weblogicapplication server, and the Tomcat Web server.

[0657] More generally, a directory named “lib” may be utilized by manycomplex business software products as a location for callable methods,sub-programs, and functions. Examples of software products that use a“lib” directory for this purpose include IBM Corp's DB2 DBMS, GhostgumSoftware's GSView (a product for viewing postscript documents), theInprise AppServer, Oracle DBMS, and TogetherJ from ObjectInternational,Inc. (a product for authoring, viewing and managing UML diagrams). Otherdirectory names that are in common use as locations for specific filesor types of files are “bin”, “users” and “docs”. All of the above areexamples of common topological deployment patterns of system part 100Ffiles and data, which can be described by a context. A standardspecified context describes a common topological deployment pattern ofEIS files and data throughout the file systems of a computer or networkof computers.

[0658] The process 1600B executes a rule-based data-driven analysis(such as that performed by an expert system) of the containment graph orother intermediate representation 2100C of the subject system part 100Fto determine the context for the subject system part 100F. This rulefollowing analysis compares the topological deployment pattern of thesystem part 100F as manifest in the intermediate representation 2100Cagainst a repository of candidate standard specified reference contextsto determine if the topological deployment pattern matches one of thereferenced standards in the repository.

[0659] Given well-known topological deployment patterns of system part100F files and data (as described above), such an analysis can identifythe context of the subject system part 100F (i.e. Win32 application,J2EE application, BEA Weblogic, etc.) without being provided with anexplicit map of the files and data for every individual system part onthe EIS. By determining that the topological deployment pattern is oneof a standard reference context, the process 1600B may be able to locateall the required member objects of the system part 100F without havingdetailed information (e.g. an explicit map) of the files and data of thesubject EIS system part.

[0660] Once a context is determined, and the context is determined to bea referenced, standard specified context, the process will perform adirected search 1620B constrained to context-established locations onthe EIS. The term “directed search” indicating a goal-oriented searchutilizing a priori knowledge of the search domain is well-known.However, the directed search performed by the export process 1600Butilizes the context to constrain searches to specific EIS directoriesand may be considered novel.

[0661] The other information contained in a context (as mentioned above)may be in addition to the description of a topological deploymentpattern. This other information specifies whether 1625B an actual search1635B of the specific EIS (as above) directories may be required. Forexample, the software Java language decompiling program SourceAgain (aproduct of Ahpah Software), requires that only a single runnable memberobject, “srcagain.exe” be deployed for proper use of the product. Nosearch of the EIS file systems for other runnable member objects need beperformed in order to utilize the software, once the “srcagain.exe”member object has been acquired.

[0662] Alternatively, some system parts 100F might require a search1635B for runnable member objects. An example of this case would be asystem part with a plurality of dynamic link libraries (DLLs), whereonly certain of the DLLs are of interest. The limitation of interest maybe due to that fact that generally, individual DLLs provide discretefunctionality. For instance, one DLL may provide only the functionalityrequired for local printing, while another DLL may provide thefunctionality required for wireless communication. If the purpose of thediscovery and export processes is to enable wireless communication, theDLL to enable local printing may be not of interest. Therefore, a rulewould identify only the wireless communication DLL. Specifically, withinthe context of the system part 100F the wireless communication DLL wouldhave unique features that would be used to apply the rule during thesearch 1635B.

[0663] Apart from determining the context of the system part 100F andapart from the context itself, the process 1600B uses a separate set ofrules in order to identify runnable member objects in the locations ofEIS specified in 1620B.

[0664] Once the search 1635B for runnable member objects is complete,and the runnable member objects are identified, an identifier consistingof the asset id corresponding to the respective runnable member object(member object by member object) may be placed in a preliminary packagespecification. In one preferred embodiment is a simple list, and theasset id may be used to access the respective digital asset in the AssetInventory 2150B created by the discovery process 2100B (below).

[0665] When the process 1600B accesses the digital asset in the assetinventory 2150B, the process 1600B updates the extended environment ofthe respective digital asset as described in detail below, the updatingdone by adding one or more export descriptors to an extended environmentof the respective updated digital assets.

[0666] If it is determined 1625B that a runnable search is not required,it may be then determined whether 1640B a search 1645B for non-runnablemember objects needs to be performed. If, by the context, it may bedetermined that only one (or a fix number) of identified non-runnablemember object constitutes all non-runnable member objects of the systempart 100F, no search 1640B needs to be performed. Identifiers for theseidentified non-runnable member objects are then placed 1650B in thepreliminary package specifications and the process 1600B performs anyother updates to the preliminary package specification required.

[0667] Alternatively, some system parts 100F might require a search1645B for non-runnable member objects. An example of this case would bea system part with a plurality of image files (e.g, GIF files), whereonly certain of the image files are of interest. The limitation ofinterest may be due to that fact that generally, image files are used byspecific function areas of a system part 100F. For instance, in theSourceAgain application 108 mentioned above, there are GIF filessupporting product and sales HTML pages. These product and sales HTMLpages might not be of interest in user applications that solely requirede-compilation. Therefore, rules for selection would exclude thesenon-runnable member objects from selection.

[0668] In alternative embodiment, the asset id (for runnable and/ornon-runnable member objects) may be used to access and updateinformation about the respective digital asset from the asset definitiondata structure. In this embodiment, the process 1600B can provideprocess 1600 with the preliminary package specification listing 1100A,to the table in step 1650 of process 1600 (above).

[0669] In an alternative preferred embodiment, the process 1600B candetermine that the system part 100F has no standard context 1615B. If itis determined that no standard context exists, an implicit traversal ofthe EIS files and data structures must be performed 1630B. Implicittraversal 1630B requires traversal of the entire intermediaterepresentation 2100C as opposed to the directed search 1620B.

[0670] In this alternate preferred embodiment, the search for runnables1635B that may be performed during the implicit traversal of theintermediate representation utilizes a number of well-known techniques.The most well-known technique may be examination of member object fileextensions. Generally, those member objects that meet the definition ofa runnable (as described above) have file extensions that are namedusing a well-known finite set of file extensions. For example, in aWindows NT 4.0 environment, “.EXE”, “.JS”, “.DLL”, and “.CLASS” arecommon and well-known file extensions for (respectively) executable,java script, dynamic link library, and java class runnable memberobjects. Likewise, in an Sun Microsystems Solaris 8.0 environment, a”.SO” file extension indicates that the file may be a runnable memberobject. An example rule for the search 1635B Windows NT 4.0 environmentwould be that if a file extension is “.EXE” then select the file as arunnable member object. In one preferred embodiment, all files that arenot runnable member objects are treated as non-runnable member objects1645B.

[0671] During the execution of the searches for runnable 1635B andnon-runnable 1645B member objects during the implicit traversal 1630B,the identification of each newly identified member object may befollowed by a new attempt to determine a context for the subject systempart 100F. Rule sets are examined and sorted in the form of a diagnosticor pattern-matching algorithm similar to the rule-based, data-drivenoperation of an expert system. At any time the process has sufficientconfidence in a conclusion, the implicit traversal may be suspended, andan execution of a directed search 1620B using the candidate context maybe performed. If the results of that directed search 1620B aresuccessful, the implicit traversal 1630B may be abandoned. If thedirected search 1620B fails, the implicit traversal 1630B maybe resumed.If the implicit traversal of the intermediate representation 2100Cperforms a complete traversal of the implicit representation withoutidentifying a matching context, the implicit traversal may be considereda failure, and a human deployment engineer may be needed.

[0672] In these cases, the human deployment engineer could developadditional rules to place in the expert system's rulebase so that futureinvocations of the expert system would succeed in locating all files andcompleting all searches called for in the rulebase. Although the use ofan expert system for export of assets is believed to be new, expertsystem technology is well-known in the art.

[0673] As before, the preliminary package specification may be updated1650 each time a runnable and/or non-runnable member object isidentified by the process 1600B. In alternative embodiments, the assetinventory and asset definition data structure are also updated asrequired and described above.

[0674] The extended environments of the digital assets corresponding tothe respective selected runnable and/or non-runnable member objects arealso updated 2150B.

[0675] At the end 1685B of the process 1600B, an updated asset inventory1665B with updated extended environments 220 may be completed for thesystem part 100F. In alternative embodiments, an updated asset datastructure 1660B.

[0676] A description of alternative ways to update the EE 220 may be nowpresented.

[0677] [14] In one preferred embodiment, the descriptors include one ormore common descriptors that provide a unique identification of thedigit asset on the networks. These common descriptors include one ormore of the following: a common security export descriptor and a commonrunnable descriptor.

[0678] In one preferred embodiment, the export descriptors include oneor more dependency descriptors. The dependency descriptor includes oneor more asset dependency descriptors.

[0679] In one preferred embodiment, the dependency descriptor includesone or more EIS server dependency descriptors. These EIS serverdependencies may include one or more of the following: EIS databasemanagement systems (DBMS), EIS servers, EIS application servers, EIS Webapplication servers, one or more business applications, and one or moreaccounting application. The EIS server dependencies also may include oneor more of the following: one or more Oracle DBMS, one or more SybaseDBMS, and one or more DB2 DBMS.

[0680] In a preferred embodiment, the export descriptors include one ormore type descriptors. The type descriptors may include any one or moreof the following examples: static content (SC), dynamic content (DC),enterprise java beans (EJB), reference data (RD), session bean (SB),entity bean (EB), entity data (ED), java class (JC), Java ConnectorFramework connectors (JCF), Java applet (JA), and java beans (JB).

[0681] In one preferred embodiment, the export descriptors include oneor more asset category descriptors. These asset category descriptors mayinclude any one or more of the following examples: a content descriptor,a presentational descriptor, a transactional descriptor, and arelational data descriptor.

[0682] In one preferred embodiment, the descriptors comprising one ormore asset class descriptors. The asset class descriptors include anyone or more of the following examples: base, java, non-java, language,and non language.

[0683] In one preferred embodiment, the descriptors comprise one or moreschema descriptors. The schema descriptors provide information thatdescribe any or more of the following examples: database table names anddefinitions, database column names and definitions, database keyidentifiers and value ranges, database view names and definitions, andother well-known database schema elements.

[0684] In one preferred embodiment, the descriptors further comprise oneor more metadata descriptors. The metadata descriptors provideinformation that describe any or more of the following examples:repository object definitions, scope object definitions, module objectdefinitions, operation object definitions, exception object definitions,constant object definitions, properties object definitions, attributeobject definitions, relationship object definitions, type objectdefinitions, and other well-known metadata object definitions.

[0685] In one preferred embodiment, the descriptors comprise one or moretransform descriptors. The transform descriptor may describe atransformation of data in a logic/data section of the digital asset. Thetransform descriptor may also describe a transformation of logic in alogic/data section of the digital asset. The transform descriptor mayinclude the following:

[0686] a properties descriptor that provides information required foruse of the digital asset on an operating system of the base executionenvironment.

[0687] a format descriptor that provides information required for use ofthe digital asset on an operating system of the base executionenvironment.

[0688] a registry descriptor that provide information required for useof the digital asset on a Window's operating system on the baseexecution environment.

[0689] In one preferred embodiment, the descriptor comprises one or morereference descriptors. The reference descriptor may include any one ormore of the following: a reference link descriptor, a reference filedescriptor, and a reference directory descriptor. The reference linkdescriptor may provide a World Wide Web (“WWW”) address that hascontents used for processing of the digital asset. The reference linkdescriptor may also provide a WWW address that has contents used duringexecution of the digital asset. The reference file descriptor may be aunique fully qualified name of a file required for reference by thedigital asset. The reference directory descriptor may provide additionaladdress information that may be used to locate one or more of theassociated digital assets.

[0690] In one preferred embodiment, the descriptors comprise one or moresecurity descriptors. The security descriptor may include any one ormore of the following functions: encryption, authorization, and accesscontrol.

[0691] In one preferred embodiment, the descriptor comprises one or morepackage relationship descriptors that represent a part-wholerelationship between the digital asset and one or more packagescontaining the digital asset. The package relationship descriptor mayrepresent at least the following three relationships in the part-wholerelationship: a mandatory part-whole relationship, a shared part-wholerelationship, and a root part-whole relationship.

[0692] In one preferred embodiment, the descriptor comprises one or moredistribution logic descriptors, each having one or more transactionsrules and one or more concurrency rules. The transactions rules specifyany of a number and a frequency of times that the digital asset can bedistributed to one or more target computers. The concurrency rulesspecify whether or not there are any restrictions on distribution of thedigital asset with respect to the distribution of one or more otherdigital asset.

[0693]FIG. 17 is the flowchart of the client deployment asset adapter(DAM) method/process according to one embodiment of the presentinvention. The DAM 1700 defines the process for taking the datastructure 240 created by another asset adapter method (e.g., export1600, process 1800, or target 1900) and adjusting the local environmentbased on the extended environment 220 of the respective data structure240. The data structure 240 provides the extended environment 220. TheClient Distribution Agent (CDA) selects an appropriate client deploymentasset adapter (DAA), the implementation specific construct for the DAM,based on the respective asset type being deployed. The CDA tasks the DAMwith creating the necessary changes to the local (i.e., target 940)environment to allow for the asset 240 to be deployed and to executeproperly. In other words, the DAM 1700 deploys the asset 240 on therespective client environment by changing and/or adding to the clientenvironment, if needed, as determined by information in the extendedenvironment 220 of the asset 240.

[0694] In a preferred embodiment, in step 1705, the CDA 944 use the DAM1700 to determine if the asset is any one of the following types: staticcontent, JSP (Java Server Page), or Java Bean. If the asset is one ofthese types, the CDA tasks the appropriate DAA to perform step 1745.Otherwise, the CDA proceeds to step 1710.

[0695] In step 1710, the CDA determines if the asset type is either SB(Session Bean) or EB (Entity Bean). If the asset is one of these types,the CDA tasks the appropriate DAA to perform step 1715. Otherwise, theCDA proceeds to step 1740.

[0696] In step 1715, the DAA (associated with SB's or EB's) inserts theEJB classes for the respective SB/EB into the client archive appropriatefor the local environment. In other words, the DAA inserts the EJBimplementation class (on the respective asset 240) into an archive wherethe other EJBs are stored on the client, along with the stubs andskeletons of the respective EJB. The DAA also inserts the altered theclient deployment descriptor from the extended environment 220 portionof the asset data structure 220 into the client EJB environment. The DAAthen proceeds to step 1720.

[0697] In step 1720, the DAM determines whether the asset is an EB, ifso, the DAM proceeds to step 1725. If not, the DAM process 1700 ends.

[0698] In step 1725, the DAM determines if the table specified in theasset logic/data (LD) 210 exists in the local (client) database. If thetable exists, the DAM proceeds to step 1735. Otherwise, the DAM proceedsto step 1735.

[0699] In step 1730, the DAM creates the table specified in the assetdata structure 240, then proceeds to step 1735. In a preferredembodiment, the table specification may be contained in the extendedenvironment section 220 of the asset data structure 240.

[0700] In step 1735, the DAM imports the data from the data structure240 into the database table located on the client. In a preferredembodiment, the imported data may be extracted from the LD section 210of the asset 240.

[0701] In step 1740, the DAM determines if the asset type is either RD(Reference Data) or ED (Entity Data). If the asset is one of thesetypes, the DAM proceeds to step 1725. In a preferred embodiment, the DAMwould also write an entry in a system database table indicating that acertain set of data was written to the database (e.g. a directoryreference), permitting any other process to be notified as to what datahas been added.

[0702] In step 1745, the DAM copies the file specified by the asset 240from the data structure 240 into the location appropriate for that assettype in the file system. Each asset adapter was configured to know whereto store the assets of certain asset types.

[0703] After the deploy adapter method is run for a given asset 240, theparticular target 940 has incorporated the necessary data, interfaces,and/or control functions to enable the asset purpose on the respectivetarget 940.

[0704]FIG. 17A is a block diagram of one preferred J2EE transactionaldeployment sphere of control according to one embodiment of the presentinvention.

[0705] At any given node on the network a transaction deployment ofassets can be enabled. In one preferred embodiment, the transactiondeployment applies to J2EE assets, i.e. components. FIG. 1700A shows anygiven network node with the J2EE transactional deployment sphere ofcontrol 1700A.

[0706] The node contains a well-known J2EE application server 1705A. TheJ2EE application server contains one or more well-known J2EEapplications 1710A. The J2EE application has a Web container 1720A andpossibly an Enterprise Java Bean (EJB) container 1725A that are alsowell-known and referred to as J2EE application containers. Note that theJ2EE standard specifies a J2EE deployment transactional sphere ofcontrol 1715A that encompasses only the Web container 1720A and the EJBcontainer 1725A. Further note that the J2EE standard does not explicitlyapply transactional semantics to the deployment into a Web container ora transactional container (EJB container). For more completedescription, see “Designing Enterprise Applications with the Java™ 2Platform, Enterprise Edition” Nicholas Kassem and the Enterprise TeamVersion 1.0.1 Final Release Oct. 3, 2000 which is herein incorporated byreference in its entirety.

[0707] The Web container 1720A can contain static content, JavaServlets, Java Server Pages (JSP), HTML pages, and XML pages. The EJBcontainer can contain enterprise beans. All of these can be referred toas container components.

[0708] The CDS/ADS can deliver and deploy container components, calleddelivered J2EE components to the respective Web container 1720A or EJBcontainer 1725A. Delivered J2EE components include delivered J2EE Webcomponents 1730A, delivered J2EE EJB components 1735A, and deliveredJ2EE application data 1740A. These delivered components 1732A arewell-known and part of the specification incorporated above.

[0709] [15] In this preferred embodiment, system parts 100F are deployedvia under the control of the CDS/ADS to the J2EE application server1705A and any participating database 1750A, typically, on one or moreEISs or other sources. Therefore, there may be a logical connection1745A through the CDS/ADS by which J2EE application data 1740A may bemigrated from the original source of the data to the database 1750A.

[0710] In this preferred embodiment, a novel sphere of control 1776Aencompasses the J2EE application server 1705A, the J2EE applications1710A, the J2EE application containers (1720A and 1725A), the Webcontainer, the EJB container, the J2EE application container components(not shown), the delivered J2EE components (1730A, 1735A, and 1740A,typically 1732A), and the logical connections 1745A. The sphere ofcontrol 1776A manages a transactional deployment of the delivered J2EEcomponents 1732A and an update of the databases 1750A to have dataconsistent with the J2EE application 1710A. While spheres of control arewell-known in the prior art, the scope of this sphere of control 1776Aencompassing the database 1750A as well as the J2EE application 1710Aand other aspect defined here, may be considered novel. See Davies, C.T., “Data Processing Spheres of Control”, 113M Systems Journal 17(2):pages 179-198, which are herein incorporated by reference in theirentirety.

[0711]FIG. 17B is a flowchart of the implementation process of onepreferred J2EE transactional deployment within the sphere of controlaccording to one embodiment of the present invention.

[0712] The process 1700B begins with the CDS/ADS having acquired anddelivered the following components in any combination: J2EE EJBcomponents, J2EE Web components, and/or J2EE application data.

[0713] Step 1701B tests if database only information is received or not.If only database information is received, the process 1700B goes to step1750B.

[0714] Step 1703B tests if only J2EE components are received or not. Ifonly J2EE components are received, the process 1700B goes to step 1725.

[0715] If both 1705B database information and J2EE components arereceived, the process goes to both steps 1725B and 1750B.

[0716] Step 1750B of the process 1700B attempts to open 1750B thedatabase 1750A. Step 1750B also attempts to deploy the J2EE applicationdata 1740A into the database 1750A.

[0717] If this deployment fails (succeeds), the database 1750A providesthe process 1700B notification that the database deployment failed(succeeded).

[0718] Step 1725B communicates with the J2EE application server 1705Aand requests the server 1705A attempt to deploy the J2EE Web component1730A into Web container 1720A. Step 1725B also/alternatively canrequest the server 1705A attempt to deploy the J2EE EJB components 1735Ainto the EJB container 1725A. If either or both of these attempts failor succeeds, the J2EE application server 1705A provides the process1700B notification of the respective failure or success.

[0719] In the event that there is either only a database available toopen, or, only one of a J2EE Web container or J2EE EJB container toopen, the process 1700B handles these events using prior art methods,(not shown in FIG. 17B) and returns any result codes from those priorart methods.

[0720] Database vendors provide this functionality to report failuresand successes in accessing data in their databases 1750A.

[0721] While the deployments and notifications are J2EE applicationserver are vendor specific, in general, the deployment and notificationof failure or success are defined by the J2EE specification incorporatedabove.

[0722] However, deployment and notification of failure for the database1750A external to the server 1705A are not disclosed or recognized inthe J2EE specification. Reasons for this failure to disclose are basedupon the intentionally partitioned design of J2EE applications betweenpresentation, business logic, and external (backend) databases 1750A.For further elaboration of those reasons see page 15 of thespecification incorporated above.

[0723] Applications deployed using our invention preserve theflexibility in choice of database 1750A and application server 1705Awhich the J2EE architecture has been designed to provide, but, inaddition, provide a level of deployment management above either theapplication server 1705A or database 1750A alone. This level ofdeployment management may be exercised at the scope of the sphere ofcontrol 1776A described in 1700A.

[0724] Step 1710B determines if the opening of the database 1750A andthe attempt to deploy data into the database 1750A was successful ornot.

[0725] Step 1715B determines if the opening of the containers (1720Aand/or 1725A) and the attempt to deploy the respective J2EE Webcomponents and J2EE EJB components into the containers (1720A, 1725A)was successful or not.

[0726] In one preferred embodiment, the prior version of the deliveredJ2EE components 1732A including the J2EE application data 1740A aredeleted (disposed of) 1720B only if both the deployment of the J2EEapplication data 1740 and the deployment of the J2EE Web components1730A and the J2EE EJB components 1735A into the respective Webcontainer 1720A and the EJB container 1725A is successful 1730B. Inanother preferred embodiment, the manifest specifies the exactcomponents/assets to be removed, and the purge operation may beperformed on those components/assets.

[0727] If the opening of the database 1750A and the attempt to deploythat data into the database 1750A is unsuccessful but the deployment ofthe J2EE Web 1730A and EJB 1735A components is successful, the previousapplication running on the J2EE server 1705A may be restored 1742B. Thisprovides a durable and consistent state for the server 1705A.

[0728] In a preferred embodiment, the current state of the database andapplication containers may be stored before attempting to deploy. Thismay be done via a combination of the synchronization lifecycle step andexport adapters for the container. The synchronization step sends newDBMS updates back to the distribution server, if there is a conflictwith backend data, it will be resolved and sent back to the target node.The export of application container state allows for the successfulrestoration of the application containers without completely revertingto the last distribution.

[0729] Optionally, additional actions can be taken that are governed byfailure rule execution 1744B. For example, notifications couldtransmitted to a system administrator, or written to a system log ormonitor.

[0730] Conversely, if opening the containers (1720A and/or 1725A) and/orthe attempt deploy the respective J2EE Web 1730A or EJB 1735A componentis unsuccessful and the opening and access of the database 1750A todeploy data 1725B is successful 1715B, the database 1750A updates arerolled back 1744B.

[0731] Optionally, additional actions can be taken that are governed byfailure rule execution 1744B. For example, notifications couldtransmitted to a system administrator, or written to a system log ormonitor.

[0732] If both 1731B the opening/deployment 1750B into the database andthe opening/deployment 1725B into the containers fail (1710B, 1715B,1730B), either no action is taken or one or more failure rules areapplied 1740B.

[0733] Failure rules govern the behavior of the process 1700B in theevent of both (1710B, 1715B) failures.

[0734] Examples of failure rules include: a retry of the data objectdeployment, a retry of the delivered J2EE component deployment, a retryof the failing deployment, an accessing of an alternative source for thedata of the failed data deployment, and an accessing of an alternativesource for the component of the fail component deployment.

[0735]FIG. 18 is the flowchart of the CDS/ADS process asset adaptermethod/process (PAM) according to one embodiment of the presentinvention. The PAM defines the process of creating a version of theasset 240 that may be appropriate for the target's (e.g. client) baseenvironment. More specifically, the asset's logic/data portion 210and/or extended environment 220 may be translated in such a way that itcan allow the asset to perform its functions in the target's baseenvironment.

[0736] [16] For example, the asset 240 may have come from a source'sbase environment such as a Weblogic EJB. The target's base environmentmay be OpenEJB (or JBOSS). Therefore, the asset's extended environmentwould need to be converted from Weblogic to OpenEJB (or JBOSS).

[0737] In step 1805, the CDS/ADS determines if the asset type is eitherSB (Session Bean) or EB (Entity Bean). If the asset is one of thesetypes, the CDS/ADS tasks the appropriate process asset adapter (PAA),the implementation specific construct for this adapter method, toperform step 1810.

[0738] The PAA may be selected on the basis of both the asset type (LDportion) and the target format/environment. In alternative embodiments,the PAA may be selected on the basis of the extended environment (EE)and/or the LD and the target format/environment. In other preferredembodiments the PAA may be selected on the basis of descriptorscontained in the EE 220.

[0739] In step 1810, the PAA translates the deployment descriptor (Theword “descriptor” can refer to the descriptors that actually comprisethe type of EJB asset 240 discussed in this section and is well-known inthe EJB specification. These descriptors are explicitly differentiatedfrom the descriptors that comprise the EE 220 and are described in FIG.2B.) into the target (client) format. The EJB deployment descriptor maybe obtained from the data structure 240 corresponding to the asset idlocated in the asset cache; more specifically, it is the extendedenvironment 220 portion of the asset. PAA also removes the EJBimplementation from the LD 210 portion of the asset 240. The PAA thenproceeds to step 1815.

[0740] In step 1815, the PAA generates the EJB stubs and skeletons forthe target environment. The PAA places the EJBs from the asset cacheonto the file system. Then the PAA executes the appropriate utilities togenerate the classes that the default EJB environment (at the client)will require to execute the EJB (these are the stubs and skeletons). ThePAA then proceeds to step 1820.

[0741] In step 1820, the PAA moves the new stubs, skeletons, andtranslated deployment descriptor back into the asset data structure 240.More specifically, the stubs, skeletons, and translated deploymentdescriptor are moved into the extended environment 220 section of theasset. The PAA then moves the data structure 240 back into the assetcache.

[0742] In a preferred embodiment, the Process Adapter Method Process(PAM) 1800 may be performed on one more assets 240 before the assets 240are cached in the CDS/ADS cache memory. In this embodiment, the processmethod performs any intermediate processing required. For example, theEJB adapter's process method could create the appropriate EJD proxies,so this processing does not occur at the client.

[0743]FIG. 19 is a flowchart of the CDS/ADS target asset adapter method(TAM) according to one embodiment of the present invention. The TAMdefines the process of creating a targeted data structure from anynumber of assets 240 based on the asset type and other assetinformation. The process 1900 selects the appropriate target assetadapter (TAA), the implementation specific construct for this adaptermethod, based on the asset type and tasks the adapter with creating adata type appropriate targeted for distribution to a particular clientnode.

[0744] The process method may be performed for an asset for allrespective target environments that are registered for the package(s)that contain the respective asset. The target method may be processingthat is required for an asset for one or more particular target/clientthat may be registered for the respective asset.

[0745] In step 1905, the CDS/ADS determines if the asset type is eitherRD (Reference Data) or ED (Entity Data). If the asset is one of thesetypes, the CDS/ADS tasks the appropriate TAA to perform step 1910.

[0746] In step 1910, the TAA retrieves a “where clause” specified in theasset data structure 240, typically in the extended environment 220. TheTAA then does a token replacement operation on the “where clause”. In apreferred embodiment, the token replacement may be a basic stringreplacement operation, retrieving the replacement value from the nodespecification corresponding to the targeted node. The TAA proceeds tostep 1915.

[0747] In step 1915, the TAA runs a query on the table specified in theasset data structure 240 using the “where clause” from step 1910. TheTAA proceeds to step 1920.

[0748] In step 1920, the CDS/ADS takes the records returned from the TAAin step 1915 and puts the records into a simple data structure. TheCDS/ADS then puts the data structure into the LD section 210 of theasset 240 and returns the asset to the asset cache.

[0749] For example, an asset of type Reference Data (RD) might need tobe targeted for each client node. The RD's “where clause” would havetokens that need to be replaced using information in the node'sregistry. The asset adapter would perform an SQL query using thetransformed where clause. The data resulting from this query would beplaced in the LD 210 section of the asset. The asset would then beplaced back into the asset cache.

[0750] Another example of the TAA would be for the Entity Data (ED)asset type. The asset specification might indicate that a targeted queryhas to be performed for each target client node. For the case of aneCommerce application, the ED adapter might query the status of thecurrent orders for an individual customer. The data would then bedistributed to that client. If the client's name were John Smith, onlythe order status information would be downloaded to John Smith. He wouldreceive his order status information, and no one else's. Likewise, otherclients would not receive John Smith's order status information. Thequery is specific to John Smith and may be performed when the JohnSmith's client node is ready to receive the information.

[0751] In one preferred embodiment, the data resides on the EIS tier. Inan alternative preferred embodiment, the data may be replicated to theCDS/ADS tier and the targeted query may be performed on the CDS/ADS tieras explained in the paragraphs above.

[0752]FIG. 20 is a flowchart of the synchronize asset adapter method(SAM) according to one embodiment of the present invention. One functionof the SAM 2000 may be to move a “synchronization asset” from one ormore targets to one or more sources. (A synchronization asset 240S maybe an asset 240 that is moved from a target environment to a sourceenvironment.)

[0753] The SAM typically defines the process by which one or more sourceenvironments (910, 915) can be synchronized with the target environment.However, note that in a general case, synchronization can be used toupdate information, e.g. changes in assets, on any node 940 in thenetwork—including server nodes or other target nodes. Synchronizationcan also be used to update assets in the CDS/ADS server (or targetand/or EIS nodes performing a distribution function) so that the updatedassets in turn can be distributed to other nodes of the network. While,the description below refers to moving information “back” to a sourceenvironment in order to update the respective source environment,synchronization can be used to move required information any where onthe network to any given network node to provide new information and/orupdated information without loss of generality.

[0754] Note that in some embodiments, the synchronization process couldbe the export process 1600 with the source and target roles reversed.However, a preferred embodiment, uses process 2000 for synchronization.

[0755] The first step involves the target environment creating asynchronization asset. The synchronization asset may be subsequentlymoved to the CDS/ADS, then onto the source environment. The sourceenvironment may be synchronized with the synchronization asset.Synchronization means that the source environment will be changed toreflect a change in one or more of the target environments.

[0756] In step 2010, the CDA may be called by an external process (e.g.,in the base environment of one or more targets or any other processexternal to the CDS/ADS) indicating that a synchronization shouldhappen. The SAM proceeds to step 2020. The call includes argument datathat the CDA will pass on to the synchronization asset adapter (SAA) inan hidden fashion. The SAA may be an implementation of the SAM 2000 fora particular respective asset type. See step 2020.

[0757] For example, the asset specification, e.g. 1175, for an ED typemay have argument data that indicates that a synchronization shouldhappen every time that a database record in the table corresponding tothe ED is changed. The client DBMS would be notified when the ED wasdeployed into the target/client environment in which this event needs tooccur. The client DBMS would then call the CDA when the database recordhad changed, passing arguments to indicate the asset type, ED, andarguments that allow the SAA (for the respective ED) to know how tobuild the synchronization asset (or the change in information).

[0758] In step 2020, the CDA selects the appropriate synchronizationasset adapter (SAA) for the asset type indicated by the caller of theprocess. The CDA passes the hidden arguments to the SAA, which proceedsto step 2030.

[0759] In step 2030, the SAA determines if the asset type is ED or EB.If not, the method ends, if so, the method proceeds to step 2040.

[0760] In step 2040, the SAA determines which table is associated withthe asset by examining the arguments. The SAA then retrieves thesynchronization information from the client environment for therespective asset. In the case of an ED or EB, the retrieval informationconstitutes the insertion, deletion, and updating of database recordswhich constitute the changes that the data has undergone at client sincebeing deployed into the client target environment for this respectiveasset.

[0761] In step 2050, the SAA contacts the CDS/ADS, and transfers theasset data structure 240S to the CDS/ADS. For example, this part of theSAA, running on the client environment, can update the LD 210 and/or theEE 220 parts of the respective asset 240 to covert the asset 240 to asynchronization asset 240S.

[0762] In step 2060, the CDS/ADS determines which (source) EIS node isassociated with the asset. The CDS/ADS does this by retrieving data fromthe asset specification 1175, e.g. machine location 1174. Note that thisstep, the SAA (i.e. step 2060) in this example may be running on theCDS/ADS.

[0763] In step 2070, the CDS/ADS initiates a connection to theappropriate EDA on the EIS (source) node determined in step 2060, andsends the synchronization asset 240S to the EDA/source node.

[0764] In step 2080, the EDA examines the asset data structure 240S todetermine the asset type. The EDA then selects the appropriatesynchronization asset adapter (SAA) 2000 for that asset type. Note thatthis SAA may be running on the source node/EIS.

[0765] In step 2090, the SAA determines if the asset type is ED or EB.If not, the method ends, if so, the method proceeds to step 2095.

[0766] In step 2095, the SAA applies the synchronization information(e.g. LD 210 and/or EE 220) in the synchronization asset 240S of thesource environment. Since this is an ED or EB, the changes involve theinsertion, deletion, and updating of database records against the sourcedatabase for the respective asset.

[0767] In one embodiment, the synchronization for data assets, ED & EB,are achieved by recording the SQL queries that are applied to thedatabase table. The queries are recorded in a data structure that may bewritten to a file. The file can then be transferred to the databaseserver node, via one or more CDS/ADS nodes. Once the file is on the(source) EIS node with the database table the data originated, the SQLqueries are applied to the database table. If the database table hasbeen partitioned well, the queries will synchronize the sub-partition ofthe table to the state of the table on the client node.

[0768] In alternative embodiments, the source node can be updated withthe entire synchronization asset 240S or with just the necessary changesthat are to be made to the respective asset.

[0769] The routing of the data from the client node to the EIS node isachieved due to the CDS/ADS nodes keeping the routing information forthe data. When it comes time to synchronize the data, the CDS/ADS nodesknow where the originally received the data came from and the CDS/ADSsends the data back through those respective nodes.

[0770] Note that the SAM/SAA 2000 is a process that may be typicallydistributed over several tiers of the network. The SAM/SAA providesprocessing support for the synchronization asset on its “life cycle”240L journey back to the source (EIS) node. On this journey thesynchronization asset 240S carries information reflecting the changesmade to the associated asset deployed on its respective remote clientenvironment. These changes are then updated at the source.

[0771] In a preferred embodiment, the SAM/SAA 2000 can combinesynchronization assets 240 from multiple targets/clients into a“coalesce synchronization asset” that in sent by itself back to thesource (EIS). In this manner, changes for many assets deployed over manyclient/targets can be updated at the source/EIS by processing the singlecoalesced synchronization asset. This can decrease throughputrequirements to the source (increasing speed) and decrease processing atthe EIS.

[0772]FIG. 21 is a flowchart of the EIS discovery asset adaptermethod/process (DAM) according to one embodiment of the presentinvention. The DAM defines the process of discovering the assets 240that need to be combined into a package 1100, also referred to as anexecution unit. An execution unit has an execution graph (expressed orimplied) associated with it, describing the path of execution as oneprocess calls another. The DAM identifies each asset type, thenidentifies dependent assets that are candidates for inclusion in thesame package.

[0773] In step 2110, the EIS calls the DAM to start the assetdetermination process. In a preferred embodiment, the DAM begins withthe top-level page, typically a Java Server Page (JSP). The JSP is aserver side script that may be executed to create a Web page. The choiceof the Web page as the starting point for determining the dependencygraph for the application may be based on the utility of such a startingpoint. In other situations it may be appropriate to use a differentstarting point for determining the execution graph or dependency tree.Typically, the JSP may be an XML based document that has both HTML andJava source code mixed together.

[0774] In step 2115, the DAM attempts to generate other asset candidatesby identifying the HTML hyperlinks 2125 b. Identification of thesehyperlinks may be based on a text search 2115 a for image or navigationlinks in the JSP document. Once these elements are identified, theirname may be added to the asset candidate list. After identifying eachcandidate from the HTML, the DAM proceeds to step 2120. In otherembodiments, the “edges” of the call graph are determined. This can bedone by doing a text search for method calls in the program. See below.

[0775] In step 2120, the DAM identifies the java objects that the JSPwill instantiate. The DAM generates the servlet class corresponding tothe JSP. The class is generated by a well-defined mapping in the JavaServlet specification. The class may be then compiled into Java bytecodes. The byte codes are then examined to determine which classes areloaded by the servlet. In this way, the DAM determines which Javaclasses are used by the JSP. Once these classes are identified, the DAMincludes those classes as asset candidates and proceeds to step 2125.

[0776] In step 2125, the DAM retrieves the next asset candidate off ofthe asset candidate list (ACL). The DAM then proceeds to step 2130. Ifthe ACL is empty, the DAM proceeds to step 2180. Note that the ACL canbe a data structure that is identical to the data structure of the assetdefinition data structure 1175.

[0777] In step 2130, the DAM determines if the asset is static HTML.This determination may be based on the file extension being either“HTML” or “HTM”. If the file extension is a match, the DAM proceeds tostep 2135, otherwise, the DAM proceeds to step 2140.

[0778] In step 2135, the DAM searches through the HTML text looking foreither “IMG” or “A” tags. These tags represent portions of the HTMLdocument that would cause a Web Browser to initiate a load of an imageor another HTML document. For each of the tags that match, the DAMcreates another entry in the ACL. When the HTML document has beencompletely searched, the DAM proceeds to step 2125.

[0779] In step 2140, the DAM determines if the asset is a java classfile (JCF). If the asset is not identified as a JCF, the DAM proceeds tostep 2155. Otherwise, the DAM proceeds to step 2145.

[0780] In step 2145, the DAM generates an external call graph (ECG) forthe JCF. The ECG may be a list of the method calls that are made withinthe class represented by the JCF. The ECG may be generated usingdecompilation technology. Decompilation technology is the capability oftaking a compiled program and recreating the original source code. Afterthe class has been decompiled, those methods made against externalclasses are placed in the ECG. The DAM then proceeds to step 2150.

[0781] Note that both in steps 2120 and 2145, the method calls aredetermined by either byte code examination or decompilation. Eithermethod can be used in either step.

[0782] Decompilation is the inverse of compilation, translating anexecutable file into a higher level language. Examples of decompilationtechnology would include the following products: Mocha, DejaVu, WingDis,Jad, Jasmine, SourceAgain, GuavaD, and HomeBrew.

[0783] In step 2150, the DAM transforms the ECG into asset candidates.The DAM iterates through the ECG adding an entry in the ACL for eachcall that results in a unique asset descriptor. The DAM then proceeds tostep 2125.

[0784] In step 2155, the DAM determines if the asset is a JAR file. Ifthe extension of the file is not “JAR”, “WAR”, or “EAR”, the DAMproceeds to step 2125. Otherwise the DAM proceeds to step 2165.

[0785] In step 2165, the DAM generates an external call graph (ECG) forthe for each java class in the JAR file. The ECG may be a list of themethod calls that are made within the classes contained in the JAR file.The ECG may be generated using de-compilation technology (see 2150).

[0786] In step 2170, the DAM determines if the assets from 2165 areEJBs. The DAM matches the method signature against that of the interfacefor EJB's. If there is a match, the DAM then proceeds to step 2175.Otherwise, the DAM adds the assets to the ACL and proceeds to step 2125.

[0787] In step 2175, the DAM determines the assets' EJB type. In apreferred embodiment, this is done by examining the descriptor entry forthe bean. The DAM reads the XML deployment descriptor in the JAR filethat contained the EJB. Searching through the XML deployment descriptor,the DAM finds the entry matching the filename of the EJB. There is anentry that specifies the EJB type. This type determines the asset typefor the EJB. The DAM then proceeds to step 2180.

[0788] In step 2180, the DAM determines the data assets that arerequired for the assets that were identified. A search through thede-complied code for common database access methods yields table names,operations, and “where clauses”. These are all common elements ofdatabase operations. These elements are each identified as an entitydata asset type. It is expected that the database assets will need to bealtered by a deployment engineer. If there is a “where” clause, theasset is an entity bean and the process 2100 proceeds to step 2190 wherethe type of the asset is set to “entity bean” (EB). However, if there isno “where” clause, the asset is a session bean and the process 2100proceeds to step 2195 where the type of the asset is set to “sessionbean” (SB).

[0789] In a preferred embodiment, property files are searched for SQLqueries. It is a common practice to store resource strings in propertyfiles. The strings associated with database statements would be likelycandidates for being stored as resources.

[0790] In a preferred embodiment, additional assets would be discoveredthrough the tracing of JSP chaining. JSP documents have the ability tospecify other JSP documents that will be called from the currentdocument.

[0791] In an alternative preferred embodiment, the byte codes for theJava classes would be disassembled and examined for SQL statements andexternal method calls. The disassembly of the Java byte codes contains astring pool. The string pool contains all the static strings that aredeclared in the class file. These strings provide candidates for SQLstatements. The external calls in the disassembly are identified by the“invoke’ mnemonic. Such calls that cannot be resolved to the currentclass are asset candidates.

[0792] In a preferred embodiment, the log of the Web server may beexamined to determine which URLs are accessed. These URLs providecandidates for the start of call graphs for different packages.

[0793] In a preferred embodiment, the SQL statements are examined todetermine tokens for targeting. The ‘where’ clause may contain columnnames that are accompanied by some binary operator with a literal stringas the other operand. The configuration entry that specifies the EntityData (ED) and/or Reference Data (RD) ‘where’ clause can be assembledfrom the ‘where’ clause by substituting the string literals with tokens.These tokens will later be replaced by the target asset adapter 1900.Existence of string literals indicates that the query should be part ofan ED asset rather than a Reference Data asset.

[0794] In a preferred embodiment, the DAM determines if there aresecondary tables that should be asset candidates. If the DAM determinesthat a table is a candidate for an ED asset, the DAM will examine theschema for the table referenced. From the schema information, foreignkey (FK) relationships are determined. These relationships indicatesecondary tables that are dependent on the current table, and show therelationship as indicated by the columns specified in the FK. If thePrimary Key (PK) in the secondary table contains columns that matchthose columns that had tokens assigned during the previous embodiment,those tables become candidates for being Reference Data assets.Otherwise, any table that does not meet the previous condition isspecified as an ED asset candidate. In a preferred embodiment, the unionof the columns specified in the where clauses for a particular tablespecify those columns that need to be selected and created in the targetenvironment.

[0795] This invention is not limited to Web based applications. Inalternative embodiments, other types of programs, e.g. C++, ASP, VisualBasic, Delphi, Fortran, etc. can be processed by the discovery method2100 by generally searching through the program in the Execution CallGraph defined sequence and identifying all calls to external programsthat need to be listed on the ACL. In alternative embodiments, the usercan provide their own DAM.

[0796] The adjustment asset adapter method 2100A, in FIG. 21A, may beused to determine on optimal way to process an asset, e.g. if an assetneeds to be routed differently or executed on a different environment.When the adjustment method is called, it may be given a context toexamine. The context allows the adjustment method to determine specificinformation about the environment in which the adjustment asset adaptermethod is running within. The context contains topics and/or constraintssuch as: routing, network load, CPU load, local license server locationand/or availability, local certificate server, costing, and other topicsthat might allow the adjustment asset adapter to make decisions abouthow its assets 240 should be distributed in a more optimal manner. Ifthe topic/constraint does not exist, the adjustment asset adapter methodmay add a query entry that will prompt various agents for the type ofinformation that the adjustment asset adapter method needs in order toadjust the distribution of assets.

[0797] Some topics/constraints include load balancing, optimaldistribution pathway on the network, closest ISP or local server,service level agreements, and migration.

[0798] One constraint that can be handled by the adjustment assetadapter may be load balancing. In one preferred embodiment, statisticsbased on the computational environment are fed back into the CDS/ADS.Theses statistics are then used to determine which computationalenvironments are most available for executing program functionality. Acommon algorithm would be a round robin.

[0799] When providing asset distribution, it may be useful todifferentiate between the possible different routes an asset can takefrom source to target, and even the source from which the assetoriginates. The ability to track network load and determine optimalrouting on the network can support Service Level Agreements in that abetter load profile and routing path can be sold at a premium.

[0800] Migration occurs when assets that are deployed in one physicalarea of a network move to cause local areas of over or under use(“growth and shrinkage.”) As an application is executed, or as a targetmoves through a network topology (e.g. a wireless device or otherpervasive device physically moving with respect to the network), theactual asset distribution across the tiers of the network could change.If there is a greater demand for an application, the distribution systemshould move the appropriate assets toward the area of demand in order toreduce communication distances and to increase reliability in thatsmaller portions of the network will be used. However, the distributionof these assets might need to conform to constraints such as loadbalancing and service level agreements. Furthermore, as the demandlessens in parts of the network, it might be optimal to move assets fromlocations of heavy activity to those locations with less activity inorder to free up resources for applications that have a higher demand.The same “growth and shrinkage” also can occur when a location of atarget environment moves through a network topology, e.g. from a largecity to a rural area. In this case, optimization can only occur if thetarget environment is tracked in a dynamic fashion and the assets can bephysically moved to meet the changing criteria as enabled by theprocesses in this disclosure. In a preferred embodiment, thedistribution of the assets may be reconfigured over the network topologybased on the demand caused by the execution of the application and/or orother criteria.

[0801] Another significant use of the Adjustment Asset Adapter Methodcan be to determine from where and through which route which asset isobtained or is executed if an application execution requires assets thatare not in the local server. This function may need to invoke otheradapter methods to query the available options regarding to the source,route and the choice of either executing remotely through bridging ortransporting the asset into local server in order to execute its ownlogic to optimally select the asset arrangement for the application.This function along with other functions makes each of the nodes into atruly distributed server.

[0802]FIG. 21A is a flowchart of the EIS adjustment asset adaptermethod/process (AAM) according to one embodiment of the presentinvention. The AAM defines the process of adjusting and measuring thedistribution of assets. Adjusting the distribution may be achieved bychanging the package specification 1100. In a preferred embodiment,measurement uses the synchronization 2000 facility to pass metrics backthrough the system, e.g. back to the source (e.g., EIS). The adjustmentsystem can enable or disable a certain set of functionality to optimizethe system based on external factors/criteria.

[0803] In step 2110A, various elements produce metrics, which are fedinto the adjustment method's models (see below). (Elements are inputs tothe performance models that can be provided by a user, designer, and/orsome executing process, e.g. an adapter method.) Performance metricsinclude, but are not limited to: data transfer between agents,transaction per second for computational environments, condition of asecure network connection, the number of clients per second that havebeen accessing a distribution server, or simply distance of assets fromtheir target.

[0804] In step 2120A, different models that define some networkoptimization are run. For example, to optimize load balancing, aload-balancing model determines which servers have the capability tofacilitate distribution of assets. To optimize quality of service, a QoSmodel determines the security and performance of the network paths forasset distribution. To optimize asset routing, a routing optimizationmodel calculates the best path for asset distribution. Many of thesemodels are well-known in the prior art.

[0805] In step 2130A, the model produces results indicating the changesthat need to be made to optimize the criteria the model is designed tooptimize. In many preferred embodiments, this optimization requires there-location, movement, and/or re-routing of assets and/or computationalrequests. These changes may result in an asset being moved to anothercache, closer to a target environment or on a more secure network path.Other possible changes might include the choice of an alternate targetenvironment for asset delivery, or the selection of an alternatecomputational environment in which to fulfill a request for execution.

[0806] These changes are applied to the distribution of the assets. Inother words, step 2130A determines where assets should be in order toproduce the optimization of the model.

[0807] For example, with a load-balancing model, each node can keeptrack of how many requests it can generate and how long each requesttakes. There would be some adaptive grouping of different requestersinto groups for load balancing, the request statistics would determinewhich intermediate computational environment would service a request.For distribution, we would keep track of the CDS/ADSs that wereproviding the assets to each computational environment. If one CDS/ADSwas providing an inordinate number of assets, that CDS/ADS might referthe requesting CDA to a peer CDS/ADS.

[0808] In another example, with the Service level agreement model, aservice token may be added to all transfers. When a package needs to betransferred or processed, the service token is examined. If there areother packages that have a higher service token, those packages aretransferred or processed before the lower level tokens or process on anenvironment with better resources.

[0809] In another example, the network routing optimization would have agoal of asset migration. Request statistics are kept for each assetbased on the number of times the asset was distributed and how manytimes the deployed asset was accessed in the client environment. Thoseassets that are deployed frequently in a target environment would bedistributed physically closer to the client and perhaps even deployed atthe client/target. As the target demand for a particular assetdecreased, the physical location of that asset could be moved furtherfrom the target.

[0810] In step 2140A the process determines where the assets to be movedare, and re-directs the distribution of these assets to the locationdetermined in step 2130A. In a preferred embodiment, step 2140Are-directs these assets by changing the node ID 1524 in the noderegistration specification 1522. Note that the node ID can refer to aCDS/ADS, EIS, proxy server, or any other computer on the network inaddition to any target. In some embodiments, one or more of the assetsmay be directed through a route that meets certain routing criteria,e.g. routing under a certain speed threshold or through certain nodes.This route determination and criteria are well-known.

[0811] Now that the adapters of the invention have be disclosed andexplained, a more detailed explanation with be given about the assetlifecycle 240L described in FIG. 2A. The asset goes through a lifecyclestarting in the source tier, moving through the deployment tier, intothe target tier, and then optionally back through the deployment tier tothe source tier and/or to any other node or nodes in the network ifrequired. The asset adapter methods define the steps in this lifecyclewhere asset type specific processing is required for the asset tocontinue through the lifecycle.

[0812] In the source tier, resources are discovered using the discoveryasset adapter method 2100, to identify candidates for classification asassets and, through the export adapter method, to package assetstogether as packages. In a preferred embodiment, a package specification1100 is created that in turn contains asset specifications 1170. Theasset specification 1170 may be stored in the deployment tier until apackage 1100 is scheduled for delivery.

[0813] The version asset adapter method 1660 may be used to determinethe current version information of the assets 240 in the source tier.This version information may be compared with the target tier assetversion information in the deployment tier to determine if assets needto be deployed from the source tier to the target tier.

[0814] The export asset adapter method 1600 may be used to obtain theactual current version of assets in the source tier that need to bedistributed to the target tier. After the assets are exported, theassets are preferably moved to the deployment tier and stored in anasset cache. When exporting assets, the export asset adapter methodcaptures the logic, data, and extended environment information 220 foran asset 240 and puts it into an asset data structure 240.

[0815] If an asset requires processing the processing may be done whenthe asset is stored in the asset cache or at any time before the assetis distributed to either a secondary cache in the deployment tier or thetarget tier. The processing is primarily performed on the asset'sextended environment 220, in an attempt to translate the extendedenvironment 220 to run in harmony with the base environment 250 in thegiven target tier. However, the processing process may also change thelogic/data portion of the asset or both the logic/data and the extendedenvironment portion of the asset.

[0816] An agent in the target environment requests the assets that arepending for delivery to that target tier. The target processing assetadapter method 1900 may be executed against any asset that requirestargeted processing before being sent to the target tier. Targetprocessing is intended primarily to change the Logic/Data section 210 ofthe asset data structure 240 in order to provide a unique asset that cancreate or has personalized information for the specific target in whichit is being deployed. The targeting can be for an intermediate target (aserver that will in turn serve many users) or a final target (a singlenode that will serve a single user).

[0817] When the asset is sent to the target tier, the deploy assetadapter method 1700 may be invoked to deploy the asset 240 into thecomputational environment, i.e., the base environment 250, in the targettier. The extended environment 220 from the asset's data structure 240may be used to set the base environment 250 and extended environment 220in the target tier to run the asset in a correct manner. The asset'slogic and data 210 are then deployed into the base environment 250, andsince the base environment 250 has been adjusted, the logic 210 willfunction correctly and the data 210 will be accessible.

[0818] When changes happen in the target tier that warrantsynchronization, the synchronization asset adapter method 2000 may beexecuted to create a synchronization asset and the asset 240 may bepropagated back through the deployment tier into the source tier and thesource tier resource that corresponds to the synchronization asset maybe synchronized with that asset.

[0819] Agent methods are now described in detail. An agent is a processor service that can be assumed to be available in an environment. Forexample, the EDA may be available in the source environment, the CDS/ADSmay be available in the distribution environment, and the CDA may beavailable in the target environment. When the EDA, CDS/ADS, and CDAagents are described, it may be assumed that we are referring to asimple network topology with three distinct tiers: source, distribution,and target. If we consider an arbitrary network topology, withoverlapping combinations of these tiers, then it may be advantageous tohave more abstract agents to describe the functionality. Some of thesepreferred, more abstract agents are: Publish, Subscribe, Computational,and Caching.

[0820] These agents provide a generalized framework for distributingassets 240 over the network. The types of assets they distributecorrespond with the asset adapters that are defined for the system. Formuch of this disclosure we refer to a set of asset adapters specific todistributing Sun's J2EE Web and enterprise applications as anon-limiting example. However, other assets, as described above, canalso be distributed.

[0821] In a preferred embodiment, the common agents in the simpledistribution topology are typically comprised of several agents, somecommon aggregations are described here. The EDA may be comprised of apublishing agent. The CDS/ADS may be comprised of a subscriber(subscription) and caching agent. The CDA may be comprised of asubscription and computational agent.

[0822] Each agent may be responsible for providing a service interface,on a network node, that other agents can access. Those other agents maybe on the same node/computer (to distribute and execute assets withintiers or subdivisions of the computer) or on different nodes/computerson the network.

[0823]FIG. 21B is a flowchart of an alternative preferred discoveryasset adapter process according to one embodiment of the presentinvention.

[0824] The discovery asset adapter process (discovery process) 2100Bidentifies member objects of one or more computer system parts 100F andestablishes at least one topographical relationship among the memberobjects.

[0825] The discovery process 2100B starts 2105B by identifying all ofthe member objects.

[0826] This identification can be done manually 2130B, e.g., by asystems engineer examines the system parts 100F typically by traversingthe directories of the system parts 100F, and manually produces an AssetInventory 2150B and an Intermediate Representation 2160B.

[0827] Alternatively, in an automatic embodiment of the discoveryprocess 2100B, a process 2140B traverses one or more computer filesystems to find one or more of candidate objects of the system part 100Fthat are located on the computer file system. Examples of lesssophisticated processes that traverse one or more computer file systemsinclude the DIR function in Microsoft DOS, the Microsoft WindowsExplorer, and the LS function in the UNIX operating system. Thesefunctions are well-known but only name the objects found within thetopographical scope of the parameters that are provided to thesefunctions. These functions do not recognize or attempt to recognize anyrelationship among these objects other than the topographicalrelationship of their location. These functions are not designed toidentify any objects found as being candidate member objects of anysystem part 100F. Therefore, these functions cannot guarantee that allof the members of any system part will be identified. Therefore, theobjects identified by these functions cannot be considered candidatemember objects of a subject system part 100F.

[0828] The automated identification step 2140B overcomes this difficultyby using knowledge about the specific system part 100F and the EISsystem environment in an expert system designed for this purpose. Forexample, for an expert system to identify the candidate member objectsof a common implementation of a MS-Win32 software application, theexpert system, given the name of the system part 100F (for example,“Payroll” for a payroll application 108) and a root starting location inthe EIS computer file system, would traverse the computer file systemstarting at the root location, would search for a branch of the computerfile system that matched the branch of the computer file system named inthe expert system's rulebase as the system part's “home” directory. Theexpert system would have a high expectation (expressed internally asprobabilities) that objects found in the system part's “home” directorywere, in fact, candidate member objects of the system part, and wouldadd these objects to the Asset Inventory 2100D and to the intermediaterepresentation 2100C (see below) of the system part.

[0829] Next, the expert system would traverse the computer file systemto the well-known common application directories of an MS-Win32operating system. There, the expert system would search for runnablelibrary files (such as “.lib”) or runnable runtime files (such as .dll)named in the expert system's rulebase specifically as the commonapplication files required for correct execution of the system part(i.e. “payroll”). Next, the expert system would traverse the computerfile system to locate the operating system specific configuration filedirectories (for example, in MS-WINNT 4.0, the “WINNT” directory), andthere, would search for those configuration files and files whichcontained configuration entries (such as the WINNT Registry) and addthose files to the Asset Inventory 2100D and to the intermediaterepresentation 2100C. Only after all directories and computer systemfiles named or suggested in the expert system's rulebase were examined,and all candidate member objects had been placed in the Asset Inventory2100D and intermediate representation 2100C would the expert systemreport completion of its task, which is production of the AssetInventory 2150B and production of the Intermediate Representation 2160B.Any search objectives or file acquisition requirements stated in theexpert system's rulebase that the above described process failed tolocate and add to the Asset Inventory 2100D and the intermediaterepresentation 2100C would be reported to a human deployment engineer,who would finalize the production of the Asset Inventory 2150B andIntermediate Representation 2160B. Any sufficient level search resultwould be acceptable. In one preferred embodiment, sufficiency may bebased on the goal of being able to later distribute and execute theassets in a base environment on one or more target nodes.

[0830] When the Asset Inventory 2100D and the IntermediateRepresentation 2100C are complete, the member objects so inventoried andidentified are considered digital assets 240 members of the system part100F. These digital assets 240 form the parts of a part-wholerelationship with the system part 100F.

[0831] Alternatively, the human deployment engineer could developadditional rules to place in the expert system's rulebase so that futureinvocations of the expert system would succeed in locating all files andcompleting all searches called for in the rulebase. Although the use ofan expert system for discovery of assets is believed to be new, expertsystem technology is well-known in the art.

[0832] Now more detail will be presented about the steps that the expertsystem (or the human deployment engineer) had to perform in the abovedescribed discovery process 2100B.

[0833] The Intermediate Representation 2100C may be created by placingan identifier as a node in the Intermediate Representation for eachmember object discovered. Before the member objects are recognized asdigital assets, these identifiers are member object identifiers.Subsequent to the recognition of the member objects as digital assets240, the member object identifiers become or are transformed intodigital asset identifiers. In a preferred embodiment, the intermediaterepresentation 2100C is a graph with nodes and edges. The digital assetidentifier occupies one of the nodes of the graph. The edges representthe topographical relationship of the digital assets with respect toeach other and with respect to the EIS computer file system.

[0834] The digital asset may be created from the member object, chosenas described above, by placing the member object in a logic/data section210 of the digital asset 240 and by further creating an extendedenvironment data structure 220 (described above) that is attached to thelogic/data section 210.

[0835] As stated above, the digital asset may be placed in an assetinventory container object called the Asset Inventory 2100D.

[0836] In some embodiments, a definition of each of the digital assetsmay be optionally entered or completed in an asset definition datastructure 1170, above. As already stated, these entries havedescriptions of one or more digital asset attributes of the digitalasset 240.

[0837] The member objects/digital assets are processed, as above, untilthe Intermediate Representation 2100C fully describes the system part100F and the asset inventory container object (Asset Inventory) 2100Dhas a complete inventory of the digital assets of interest from thesystem part 100F. The asset definition data structure 1170 may then alsobe a complete list of the digital assets 240 of interest in the systempart 100F.

[0838] The discovery process 2100B further stores one or moredescriptors in the extended environment 220 of each digital asset afterthe extended environment of the digital asset is created.

[0839] In one embodiment, the descriptors include one or more commondescriptors 210B that provide a unique identification of the digit asseton the network(s). These common descriptors 210B can include one or moreof the following: a digital asset name of the digital asset, a uniquefully qualified name of the digital asset, an address of the digitalasset, and a size of the digital asset. These common descriptors areobtained from the EIS at the time the digital assets are discovered.

[0840] In one preferred embodiment, the descriptors include one or moreasset dependency descriptors 220B. The asset dependency descriptorsinclude any one or more of the following: one or more names of otherdigital assets on which the digital asset is dependent 222B, an assetidentifier, and one or more unique fully qualified names of otherdigital assets on which the digital asset is dependent 222B. These fullyqualified names are also obtained from the EIS.

[0841] In one preferred embodiment, the descriptors include one or morereference descriptors 260B. The reference descriptors 260B include anyone or more of the following: a reference link descriptor, a referencefile descriptor, and a reference directory descriptor. The referencelink descriptor may provide a World Wide Web (“WWW”) address that hascontents used for processing of the digital asset. The reference linkdescriptor may also provide a WWW address that has contents used duringexecution of the digital asset. The reference directory descriptorprovides additional address information that may be used to locate oneor more of the associated digital assets. The reference file descriptormay be a unique fully qualified name of a file required for reference bythe digital asset.

[0842] In one preferred embodiment, the descriptors include one or morerunnable descriptors 240B that indicates that the digit asset 240 is arunnable digital asset. The runnable descriptors 240B may include adescription of the EIS execution environment. For example, the runnabledescriptor might be Window NT 4.0, Linux version 5.0, or Solaris version6.1.

[0843] In one preferred embodiment, the descriptors include one or morenon-runnable descriptors 242B that indicates that the digit asset is anon-runnable digital asset. The non-runnable descriptors 242B mayinclude a description of the EIS execution environment as above.

[0844]FIG. 21C is a diagram of a prior art graph structure, specificallya containment graph structure, used to establish membershiprelationships of digital assets according to one embodiment of thepresent invention.

[0845] In the preferred embodiment, the graph structure can be used asthe Intermediate Representation. For FIG. 21C, in order to provideadditional detail for explanation purposes here, the nodes of FIG. 21Chave been drawn to illustrate visually the different digital asset typesthat are the subjects of the discovery process. Further, textidentifications of the digital asset type have been placed in a numberof the illustrated nodes for further clarity. In practice, a graph maybe represented in computer memory as a data structure, containing bothnode data structures and edge data structures. See well-known works byPrim, Kruskal, Dijkstra, et. al. which are herein incorporated byreference in their entirety. Well-known algorithms dictate correctmethods for traversal of graphs of this type. Further, there existwell-known methods described to construct such a graph given thetopological relationships discovered or examined by the discoveryprocess as it follows the rules contained in the expert system rulebaseor traverses the EIS computer file system. In FIG. 21C, as non-limitingexamples of the diversity of digital assets which may be discovered,digital assets such as Runnable Script File 2130C, Non-Runnable Document2140C, Runnable Java Class 2130C, Runnable J2EE EJB File 2132C,Non-Runnable XML File 2135C, Non-Runnable HTML Document 2145C, Runnable.EXE file 2130C, Non-Runnable Data File 2150C are identified. Further,the topological relationship of these digital asset types may bedemonstrated for non-limiting example purposes by their respectivelocations in branch directories of the example computer file system,such branch directories being identified as “Users” 2112C, “Docs” 2110C,“Statistics” 2120C, etc.

[0846]FIG. 21D is a block diagram of a preferred asset inventoryaccording to one embodiment of the present invention. This datastructure contains the assets identified by the discovery process 2100.In a preferred embodiment, the assets 240 that occupy each entry,include the logic/data sections 210, EE sections 220, and optionally theasset interface 230 of the discovered digital assets 240.

[0847]FIG. 22 is a flowchart of a publishing agent method according toone embodiment of the present invention. The publishing agent method(PAM) handles requests for the discovery 2100, versioning (see FIG.16A), and export 1600 of assets. The PAM groups together these lifecyclesteps (i.e. adapter methods) in the asset lifecycle into a single agent.

[0848] Discovery 2100 is the process of determining asset dependenciesthat result in the definition of a package specification 1100 by meansof the export adapter method 1600. Versioning (see FIG. 16A) is theprocess of determining the current version of an asset against a cachedasset and updating the cached asset if it is out of date. Export 1600 isthe process of taking the various elements that constitute an asset andpackaging those elements into a data structure.

[0849] In step 2205, the PAM receives a request to discover the assetsthat are used in one or more applications. An initial asset may bespecified to begin the discovery process, then the dependent assets arediscovered until the PAM reaches a terminating condition.

[0850] In step 2210, the PAM receives a request for the current versioninformation for specific assets. The PAM looks to assets in the localenvironment to determine the version information.

[0851] In one embodiment, the PAM uses the time stamp associated withthe asset as the version information.

[0852] In step 2215, the PAM receives a request for a data structurecontaining assets. A list of assets accompanies the request. The PAMexports the current version assets from the local environment into adata structure. The PAM returns the data structure to the caller.

[0853] In a preferred embodiment, the PAM splits the data structure intosmaller pieces that may be of a more appropriate size for sending over anetwork.

[0854] Note that the PAM may run steps 2205, 2210, and 2215 in any orderdepending on how the requests of the PAM are received. In addition, thePAM may omit one or more of these steps. Essentially, the PAM is aconvenient way of grouping these asset life cycle steps that typicallyoccur in the source tier. Therefore, a set of asset requests can be sentto the PAM and the PAM, a single agent, will perform the necessarydiscovery, versioning, and exporting that is normally required at thesource.

[0855] Note that the PAM can be considered as a package 1100 of assets240 distributable, and with a life cycle, of its own. By distributingthe PAM package of assets to any given source, that source will beenabled to discover, version, and/or export assets as required.

[0856]FIG. 23 is a flowchart of a subscriber agent (SA) method accordingto one embodiment of the present invention. The subscriber agent method(SAM) 2300 may be responsible for an adjustment asset lifecycle step,supporting bridged computational environments (proxy capabilities,below), and dispatching requests between other agents.

[0857] The SA supports the adjustment asset lifecycle step by loggingand reporting the interaction between all of the agents that contact theSA.

[0858] The SA can provide the proxy capabilities described in thecomputational bridging adapter method. When requests are sent to the SA,those requests are routed to the source computational environment. Seecomputational agent below. When responses to a proxy request arereturned from the source computational environment, the response may besent to the target computational environment, a computational agentrunning on the target.

[0859] The SA also can coordinate the transfer of assets and informationbetween the publishing agent and caching agent. The SA performs thisfunctionality for discovery, versioning, and exporting.

[0860] The SA also can provide the transfer of assets and informationbetween the source and target environments for synchronization.

[0861] The SA also can coordinate the transfer of assets informationbetween the caching agent and computational agent. The SA performs thisfunctionality for deployment and synchronization.

[0862] In step 2310, the SA may be instructed, by the CDS/ADS, torequest that the asset discovery be executed by the source publisheragent 2200. The package specification 1100 from the export process 1600is then received and stored in the distribution tier.

[0863] In step 2315, the SA may be instructed, by the CDS/ADS, torequest that the asset versioning method (FIG. 16A) be executed by thesource publisher agent 2200. The resulting version information from theversioning process may be stored in the distribution tier.

[0864] In step 2320, the SA may be instructed, by the CDS/ADS, torequest that the asset exporting method 1600 be executed by the sourcepublisher agent 2200.

[0865] In step 2325, the assets resulting from the exporting process1600 in step 2320 are sent to the caching agent 2500 on the same node asthe SA so that they can be stored in one or more of the asset caches.

[0866] In step 2330, an SA, typically in the target environment,requests 1400 a manifest 1452 detailing the assets to be distributed tothe target environment from the SA in the distribution tier.

[0867] In step 2335, the SA in the distribution tier requests themanifest 1452 detailing the assets to be distributed to the targetenvironment from the distribution cache and returns it to the requestingSA in the target environment.

[0868] In step 2340, the SA, typically in the target environment, may beoptionally requested to synchronize 2000 an asset. The SA proceeds toconspire with the SA in the distribution tier to forward thesynchronization asset.

[0869] In step 2345, the SA in the distribution tier contacts thecomputational agent 2400 in the source environment and sends thesynchronization asset to that agent for synchronization.

[0870] Note that the SA can be considered as a package 1100 of assets240 distributable, and with a life cycle, of its own. By distributingthe SA package of assets to any given source, CDS/ADS, general server,and/or client/node will be enabled to communicate with and processrequests from other SA's, and coordinate the transfer of assets andinformation, as required.

[0871]FIG. 24 is a flowchart of a computational agent method accordingto one embodiment of the present invention. The computational agentmethod (CA) may be responsible for providing the functionality involvedwith deployment of assets into a computational environment, andgenerating synchronization assets for other environments.

[0872] Additionally, the CA enables the installation of the baseenvironment 250 as described in FIG. 26 below.

[0873] The computational agent 2400 also may be responsible forproviding the computational environment for assets. The stewardship ofthe environment involves providing the services that the assets need,either directly or by proxy. In the case that a service is needed butnot available, the CA initiates the distribution of the asset 240 withthe appropriate extended environment 220 that is needed.

[0874] In step 2410, the CA 2400, typically in the target environment,may be requested to deploy 1700 an asset 240 or set of assets. The CAdirects the request to the deployment asset adapter 1700, which performsthe actual processing.

[0875] In step 2420, the CA 2400 in the source environment may beoptionally requested to synchronize 2000 an asset that the subscriptionagent 2300 forwards from the target environment. The CA selects theproper synchronization asset adapter 2000 to complete thesynchronization. Typical this sychronization is done in a way specificto each asset type.

[0876] In step 2430, the CA 2400 in either the source environment ordistribution tier either fulfills or forwards a request for execution.If the CA has the asset 240 that can fulfill the request, the CA runsthe request against the asset, returning the result to the caller, whichmaybe the target environment or a subscription agent 2300 that isforwarding a request. If the CA does not have an asset to fulfill therequest, it calls the subscription agent, typically on the same node, inorder to forward the request to another CA. In the case that requestsreach the CA in the source environment, the requests are made directlyagainst the resources in that environment.

[0877] Note that the CA can be considered as a package 1100 of assets240 distributable, and with a life cycle 240L, of its own. Bydistributing the CA package of assets to any given source, CDS/ADSand/or general server will be enabled to process, deploy, synchronize,and cache assts, as required.

[0878]FIG. 25 is a flowchart of a caching agent method according to oneembodiment of the present invention. The caching agent method CAM) 2500is responsible for the processing and targeted processing of assets.These functions allow the cached assets to be processed fordistribution.

[0879] The processing functionality is a general transformation thatwould be performed on an asset, possibly for normalization.Normalization would allow the asset to be stored in a neutral format,being of some advantage to the distribution process. Neutral formatstypical involve changes to the extended environment 220 to make theextended environment 220 less specific than the source environment andenabling the extended environment to execute more easily with a varietyof base environments 250 in the target environments. An example or aSession Bean (SB) or entity bean (EB) where the source format could be afirst application server and the target format could be a secondapplication server, a neutral format would be one specified by, e.g.,strictly adhering to, the J2EE specification.

[0880] The targeted processing function recognizes the need to transformthe asset for the specific target environment for which it is targeted.This recognition may be a result of the package specification 1100indicating that a give asset should be targeted at a specific target.This information may be given in the other field 1179A in the respectiveasset definition data structure 1170. The information need for each ofthe specific target is given in a specification (node specification). Ina preferred embodiment, this is a list of name/value pairs with a tokenlabel accompanied by a substitution value for each pair.

[0881] The CAM also can be responsible for creating and maintaining anasset cache.

[0882] In step 2505, the CAM may be requested to perform targetedprocessing (the processing need for the asset to execute on a specifictarget) an asset or set of assets. The CAM directs the request to theprocessing asset adapter 1800, which performs the actual targetedprocessing. In a preferred embodiment, this targeted processing occursafter the asset is cashed to reduce overhead of storing a targeted assetfor each different type of target. However, targeted processing could beperformed before caching.

[0883] In step 2510, the CAM may be requested to perform processing 1800on one or more assets. The CAM forwards the request to the processingasset adapter 1800, which performs the processing.

[0884] In step 2520, the CAM may be requested to perform targetedprocessing on one or more assets. The CAM forwards the request to thetargeted processing asset adapter 1900, (in a preferred embodimentresiding on the distribution server), which performs the targetedprocessing specific for the respective target.

[0885] In step 2530, the CAM may be requested to store an asset in theasset cache. In a preferred embodiment, the CAM performs thefunctionality that is required to store the asset, and manage the cache,including: deleting old assets, updating database tables, and notifyingthe proper subsystems that a change has occurred in the asset cache.

[0886] In step 2540, the CAM may be requested, via a manifest, to readassets from the asset cache and return those assets to the caller.

[0887]FIG. 26 is a flowchart of an asset distribution process accordingto one embodiment of the present invention. In a preferred embodiment,the CDS/ADS stores assets corresponding to the following asset classes:applications, asset adapters and agents (see below) and baseenvironment. While these three classes of assets enable differentfunctionality, they are each seen by the CDS/ADS as being assets 240 (orpackages 1100 of assets 240) as described in this document. Thedifference between these asset classes centers around the context eachof these classes is intended to support.

[0888] The assets associated with the application comprise the actualapplication elements or assets 240 that are distributed by the CDS/ADS.The application assets are “first class” assets in the entire system.Typically, these assets (assets used in applications and/or subapplications) are the major workload for the distribution server,CDS/ADS, and agents, e.g. EDA and CDA.

[0889] In addition, the asset adapters and agents (e.g. asset packaging1300, client deployment process 1400, node registration 1500, versioning1660, export 1600, client deployment 1700, process 1800, target 1900,synchronize 2000, discover 2100, adjustment 2100, publishing 2200,subscriber 2300, computational 2400, caching 2500, system assetdistribution 2600, streaming 2700, bridging 2800, QoS 2900, and anyother process that distributes and/or changes assets) can be themselvesassets 240, and can be distributed and processed to provide thenecessary asset lifecycle functionality in the source tier, distributiontier, and target tier. In a preferred embodiment, the EDA, CDS/ADS, andCDA are intelligent enough to determine the type of asset for each stepin the asset lifecycle, but they defer the actual asset operations tothe individual asset adapter. The actual asset adapters are themselvesapplications, therefore, in some preferred embodiments, they havepackage 1100 and asset specifications 1175 defined that allow them to bedistributed. In these cases, the asset adapters can be loaded on demand,as the EDA, CDS/ADS, and CDA need to process each individual asset.

[0890] The base environment represents those assets that are needed andare within which the other assets 240 run—for example: a Web server forstatic content assets (SC), a servlet engine for JSPs (JSP), a JavaRuntime Environment for Java class assets (JB), an application serverfor the EJB assets (SB and EB), and a DBMS for the data assets (RD, ED,and EB). Each of the servers that make up the base environmentthemselves can be applications, preferably Java applications, allowingthem to be defined in package 1100 and asset specifications 1175 fordistribution. The Java runtime environment is a native application thatis dependent on the operating system in the target environment, and isdistributed using standard installation programs, which are widelyavailable. The CDA is distributed by the boot-strap process describedbelow.

[0891] There are dependencies between these different asset classes.There exists an implicit relationship between the asset types and thecorresponding asset adapters, as described above. If an asset of acertain type is going to be distributed, the asset adapter for thatasset type needs to be distributed before the dependent asset to theparticular location (e.g. tier) of the network. An example would be astatic content asset type would need a static content asset adapter inorder to perform any of the distribution functionality on the asset, forexample at the CDS/ADS.

[0892] There exists an implicit relationship between the asset types andthe base environment 250. If an asset type is going to be deployed, itrequires a certain runtime environment. The base environment assets aredistributed in order to provide this environment. For example, a JSPasset would require the assets that comprise the Web server and servletengine to be installed in the target computational environment beforethe asset could be expected to run the asset in that environment. Insome embodiments, these base environments 250 are pre-installed. Inother embodiments, the base environments 250 are distributed as one ormore base environment 250 assets 240 prior to their being used. The baseenvironment 250 assets 250 could also be distributed to requiredlocations on the network by alternate, well-known network distributiontechniques.

[0893] In some embodiments, one or more asset adapters and/or agents areconsidered part of the base environment 250. For example, in the CDS/ADSsystem process adapters, target adapters, and/or subscriber agents canbe part of the base environment 250 and could be distributed orpre-installed at the CDS/ADS.

[0894] In step 2605, the distribution agent (DA), more specifically theEDA (at the source), CDS/ADS (at the distribution level), or CDA (at thetarget/client), determines which asset adapters are needed for the assettypes that have been discovered. The asset types are specified in theasset specification 1175.

[0895] In step 2610, the DA determines if those asset adapters are inthe local environment, e.g. the target/node. The local environmentcontains a predefined configuration data structure indicating the assetadapters that are in the local environment. In a preferred embodiment,the data structure would be a properties file. For the adapters that arenot in the local environment the process proceeds to step 2615.

[0896] In step 2615, the DA requests the packages 1100 associated withthe asset adapters not located in the local environment for immediatedistribution to the current node. These asset adapters come from theasset adapter asset cache, or, in a preferred embodiment, the systemasset cache on the CDS/ADS. Note that assets that are not in the localenvironment might include later versions (see versioning 1660) of therespective asset 240.

[0897] Examples of asset adapters include: SC, JB, SB, EB, RD, & EDwhich correspond to the respective asset types on which these assetadapter operate.

[0898] In step 2620, the DA determines which base applications areneeded for the asset types associated with the assets that are definedto be used at a particular computer on the network. The asset types arespecified in the asset specification 1175 located in the respectiveenvironment. For example, one or more client/nodes would subscribe to aparticular service. The clients would have different operatingsystems/platforms. The service, along with the clientplatform/environment, would determine the set of assets and the set ofadapters/agents required. These assets 240 would be pre-installed and/ordistributed to the client from the CDS/ADS (or other proxy servers). Asa further example, the CDS/ADS would need all the adapters necessary toprocess, target, etc. all of the combined target assets that would needto be distributed.

[0899] In step 2625, the DA determines if those base environment 250assets in the base environment are needed in the local environment. (Inembodiments where the assets required in the base environment are fixedand known, this step 2625 can be omitted.) The local environmentcontains a predefined configuration data structure indicating the baseenvironment Assets that are in the local environment. In a preferredembodiment, the data structure would be a properties file. For the baseapplications that are not in the local environment the process proceedsto step 2630.

[0900] In step 2630, the DA requests the packages 1100 associated withthe base environment not located in the local environment for immediatedistribution to the current node.

[0901] These base environment assets come from the base environmentasset cache (typically on the target), or, in a preferred embodiment,the system asset cache on the CDS/ADS.

[0902] Examples of base environment 250 include, but are not limited to:Web server, servlet engine, EJB container, DBMS, and CDS/ADS.

[0903] In optional step 2640, the DA would continue on to performwhatever operations were in progress before the check of the assetadapters and base environment 250 was performed. In general, the DA oragents like this, e.g. the EDA (source/EIS), the CDS/ADS (at anydistribution server), and the CDA (client/target), perform thesefunctions on any network system on any tier of the network so that thesystems have the required adapters to process their assets and therequired local base environments to deploy their assets. As describedabove, these assets can be dynamically changing as the move across thenetwork tiers during their life cycle 240L.

[0904] In a preferred embodiment, the DA would be able to bootstrap itsentire environment. One notable exception would be base environment 250that have specialized installation requirements that cannot be supportedby the asset adapters. An example of a non-distributable applicationwould be a DBMS that changes operating system registry entries.

[0905] Asset streaming reduces the transmission of duplicate data.Frames are defined as complete assets. Deltas are the difference betweentwo versions of an asset. One can incrementally apply the deltas againsta prior frame to create a complete asset for the new version associatedwith the delta(s) of that asset. Therefore, the complete new version ofthe asset does not have to be distributed, but only the deltas thatexist between the older (prior) version and the new version.Potentially, asset updating/streaming reduces the bandwidth for datatransmission and offers opportunities for merging synchronizationassets.

[0906] In some preferred embodiments, the distribution system performsoptimizations to decrease the redistribution of assets to targets ordistribution servers. For example when an asset has changed, often thedifference between the old asset and the new asset is only a smalldifference. The streaming asset provides the additional optimization ofidentifying the parts of an asset 240 that have changed and, therefore,the parts that only need to be sent. By decreasing the amount ofinformation that is sent, the distribution can utilize less bandwidthand increase the amount of network throughput for other applications.Streaming assets represents a major conceptual shift in the distributionof applications and data across tiers of a network.

[0907] For Web-based applications, streaming can greatly reduce theamount of redundant data that is sent across the network. For example,an online brokerage application would want to supply up-to-dateportfolio information and order status information to their customers.With existing technologies, the users would poll the server repeatedlyto gain this information. The server would be overloaded at peak timeswhen everyone would want to know his or her portfolio status. The onlinebrokerage would need to increase the network and EIS resources to maketheir systems available under these circumstances, although thisscenario is not representative of their normal user load. Asset baseddistribution would decrease the interaction with the servers at the EISof the online brokerage. Only the changed data would be sent down to theuser, the static content, dynamic content, and EJBs would be located onthe user's PC, or local server. The amount of sent data is greatlyreduced between the EIS and the user, and the EIS performs far lessprocessing because it doesn't have to generate the Web page. Thestreaming asset goes one step further, assuring that only the data thathas changed is sent to the client. If only the pricing data has changed,that is all that is transferred to the user. If a small part of a singleJSP has changed, only that small change is sent to the user.

[0908] By combining streaming assets with QoS 2900 capabilities (below),the CDS/ADS is able to support streaming media such as voice and video.

[0909]FIG. 27 is a flowchart of a streaming process according to oneembodiment of the present invention. In a preferred embodiment, thesteps of this process 2700 are an optimized supplement to steps andmethods described elsewhere in this document.

[0910] In step 2705, the Export Asset Adapter (EAA) determines that theasset specification indicates that the current asset should be treatedas a streaming asset. The EAA then performs a test 2707 based on theasset type to determine if a frame or delta needs to be generated. On anasset-by-asset basis, this is done to determine the differences betweena prior asset, e.g. located on a client, and a current asset (latestversion) typically located on the source/EIS. In a preferred embodiment,a copy of the prior asset is retained at the source/EIS to facilitatethis test/comparison. If a frame needs to be generated, the EAAcontinues to step 2710. If a delta needs to be generated, the EAAcontinues to step 2715.

[0911] For example, if the asset type is an EB, ED or RD, the EAA wouldquery the data and based on the amount of data that has changed, wouldeither generate a frame or a delta.

[0912] In step 2710, the EAA continues to export the asset as itnormally would in the export asset adapter method 1600. The frame assetcan be considered the same as the asset described in the other methods,and treated in the same manner. The EAA indicates that the asset is aframe asset by setting a value in the asset data structure 1175 toindicate this state.

[0913] In step 2715, the EAA creates a delta for the asset. A previouscopy of the asset may be compared with the current asset. The differencebetween these two assets is the delta that will be used to create thedelta asset. The resulting delta asset represents the changes that wouldneed to be applied in the target environment that has had all theprevious deltas applied to the last frame.

[0914] For example, if the asset type is EB, ED or RD, the EAA wouldquery the data from the source database and would either generate thedelta. In one embodiment, the EAA would generate a version of the lastasset by applying the deltas against the last frame. The EAA would thenperform a row-wise (record-wise) differentiation between the last assetand the current data. Then a (table) column-wise differentiation wouldbe applied. (Difference or comparisons functions are well-known.)

[0915] In step 2720, the EAA continues to export the asset as itnormally would in the export asset adapter method 1600. The delta assetmay be treated the same as the asset described in the other methods, andtreated in the same manner (e.g. sent to the CDS/ADS). The EAA indicatesthat the asset is a delta asset by setting a value in the asset datastructure 1175 to indicate this state.

[0916] In step 2725, the CDS/ADS receives an asset and determineswhether it is a streaming asset or a normal asset. If it is normal, theCDS/ADS continues with normal operations, i.e., process 2700 terminates.If the asset is a streaming asset, the CDS/ADS continues to step 2730.

[0917] In step 2730, the CDS/ADS determines whether the asset is a frameor delta. If the asset is a frame, the CDS/ADS goes to step 2735. If theasset is a delta, the CDS/ADS proceeds to step 2740.

[0918] In step 2735, the CDS/ADS finds deltas and last frame for theasset in the asset cache and marks them for removal. The CDS/ADS thencaches the current frame asset and proceeds to step 2745.

[0919] In step 2740, the CDS/ADS caches the delta asset in the assetcache and proceeds to step 2745.

[0920] In step 2745, the CDS/ADS resumes normal operations as if theasset was not a streaming asset.

[0921] In step 2750, the CDS/ADS receives a request to process an asset.If the asset is a streaming asset, the CDS/ADS proceeds to step 2755.Otherwise the CDS/ADS proceeds to process the asset as described in theprocess asset method 1800.

[0922] In step 2755, the CDS/ADS selects the Processing Asset Adapter(PAA) based on asset type. The CDS/ADS requests that the PAA create thecomplete asset by applying the deltas to the frame asset in order ofcreation then proceeds to step 2760.

[0923] In step 2760, the PAA applies the differential algorithm for thatasset type against the processed asset to produce a new delta. In apreferred embodiment, the PAA would create a frame asset if thecombination of the new delta and the existing deltas for the asset arelarger than the frame.

[0924] In step 2765, the CDS/ADS stores the new delta asset in the assetcache.

[0925] In step 2770, the CDS/ADS builds a manifest for a target/clientthat includes a streaming asset. If 2771 the client has the most recentframe asset, the method continues onto step 2772, otherwise the methodgoes to step 2774.

[0926] In step 2772, the CDS/ADS determines the last delta that theclient has received, and adds the subsequent deltas for that asset tothe manifest. The method continues to step 2780.

[0927] In step 2774, the CDS/ADS adds entries for the last frame andsubsequent deltas for the specified asset.

[0928] In step 2780, if the EAA is deploying a streaming asset, itdeploys the frame and/or deltas into the target environment. Fordifferent asset types, the application of the delta file has differentmeanings. Overall, the application of the delta is similar to replacingthe existing asset.

[0929] In step 2782, if the asset is registered with synchronizationcapabilities, the EAA saves a copy of the asset for later comparison.

[0930] In step 2784, the CDA is requested to synchronize target assetswith source assets. The CDA selects the appropriate SynchronizationAsset Adapter (SAA) for the specific asset type. If the asset isclassified as a streaming asset, the method proceeds to step 2786

[0931] In step 2786, the SAA creates a delta for the asset. A previouscopy of the asset, created in step 2782, is compared with the currentasset. The difference between these two assets is the delta that will beused to create the delta synchronization asset. The resulting deltasynchronization asset represents the changes that would need to beapplied in the source environment that has had all the previous deltasapplied to the last frame that was sent.

[0932] In step 2788, the SAA continues to synchronize the asset as itnormally would in the synchronize asset adapter method 2000. The deltaasset is treated the same as the asset described in the other methods,and treated in the same manner (e.g. sent to the CDS/ADS). The SAAindicates that the asset is a delta asset by setting a value in theasset data structure 1175 to indicate this state.

[0933] In a preferred embodiment, the CDS/ADS might coalesce deltas frommultiple targets before sending those deltas onto the source. This wouldreduce the processing in the source environment and also reduce networktraffic.

[0934] In step 2790, the SAA applies the synchronization information(e.g. LD 210 and/or EE 220) in the synchronization asset 240 of thesource environment. If the asset is a streaming asset, the frames anddeltas are applied to the source environment.

[0935]FIG. 28 presents the Bridged Computational Environment (BCE)capability of the DIS technology according to one embodiment of thepresent invention. BCE provides the runtime capability to maintaincommunication between runnable application parts. The communication canbe maintained through a variety of mechanisms, including but not limitedto: redirection, server proxy, object proxy, and API proxy. The BCEmaintains efficient communication between runnable application parts sthat have been distributed in was beyond the intention of their design.

[0936] In step 2805, a method within a deployed asset attempts to accessa resource that will cause a fault. If the resource is in the J2EE API,the method proceeds to step 2810.

[0937] In step 2810, the J2EE API fault is handled. If 2812 the fault isin a resource that has been defined in the JDNI that should be accessedon a remote machine, the method proceeds to step 2815. Otherwise, themethod proceeds to step 2820.

[0938] In step 2815, the JNDI implementation in the target environmenthas determined that the entry that is being looked up exists on a remotesource or intermediate target other that the current computationalenvironment. The reference to the remote object is provided to therequester.

[0939] For example, it would be beneficial to have a lookup for anobject in the target environment, maintain the semblance of the targetenvironment from which it came. An EJB on the target could use lookupmechanisms that are appropriate for the source environment, but not forthe target environment. The BCE would provide the bridging back to thesource environment or intermediate target environment, giving the localobject the impression that it is running in the source environment.

[0940] In one embodiment, the lookup could be into a flat file that isedited when an asset is deployed to the local environment, and thatasset needs to have a reference to a remote object. In a preferredembodiment, the lookup information would be persistent in a databasetable in the target environment.

[0941] In step 2820, the method determines if a JDBC fault has occurred.If a JDBC fault has occurred, the method continues to step 2825.Otherwise, the method continues to step 2830.

[0942] In step 2825, the method triggers the immediate distribution orsynchronization of EB, ED, or RD assets.

[0943] For example, when an application program attempts to perform adatabase operation on a particular table, the actual changes to thetable would be routed to the source or intermediate target environment.

[0944] In step 2830, the method determines if a server fault hasoccurred. A server fault occurs when a reference to an object on aserver is attempted, and the server is registered as needing to have aproxy connection made to it. If so, the method proceeds to step 2835.Otherwise the method proceeds to step 2840.

[0945] In step 2835, the method looks up which CDS/ADS can proxy therequest for the server being requested. The method then proceeds toutilize the CDS/ADS to proxy the communication to the server.

[0946] In one embodiment, the server would either be on the CDS/ADS orin the source environment.

[0947] For example, a CDS/ADS would have the capability to proxy IIOPrequests to a server in the source environment behind a firewall. Theproxy server on the CDS/ADS would handle the HTTP tunneling of the IIOPtraffic to conform to the firewall specification for allowable traffic.

[0948] In step 2840, the method determines if an object fault hasoccurred. An object fault occurs when a request is made on an objectthat is a stub of the actual object. The stub acts as a proxy for theobject, sending the request to the actual object. The actual objectwould typically reside in either a source environment or on anintermediate target. If an object fault has occurred, the methodcontinues to step 2845. Otherwise the method continues to step 2850where process 2800 ends.

[0949] In step 2845, the method executes the request using the stubobject. The stub object, in turn, calls either into the sourceenvironment or to an intermediate target. In either of theseenvironments exists the actual object that can fulfill the request. Theactual object fulfills the request and the stub returns any result tothe caller object.

[0950] [17] Please note that the fulfillment of requests using a proxyobject is well-known in the prior art, especially middleware systems.The mechanism of a stub object fulfilling requests differs here in thatthe middleware environment did not intend to have these specific objectinteractions happening on the client or even an intermediate target. Thecapability to perform this request proxy behavior in a distributedfashion is only partially handled, if at all, by exiting middlewaretechnology.

[0951] In an alternate embodiment, a check is made to determine if anasset adapter will handle this fault and a proxy request or redirectionis performed to access the source asset. A proxy object accepts therequest, calls the CDS/ADS, which in turn calls the EDA on the source,which performs the call within the source environment, and returns theresult to the CDS/ADS, which returns the result to the CDA, and the CDAreturns the result to the proxy object, the proxy object returns theresults to the caller.

[0952] In a preferred embodiment, the package specification fordifferent asset types also includes the capability to translate thedirectory entries for those asset types. In some cases, the directoryentry would be a pointer to a reference to a resource in the EIS. Thereference would need to be translated into a reference to a resourcelocal to the target environment or to some intermediate targetenvironment. A third possibility is that the reference would need to betranslated to a server on the EIS, the resource may be accessed in adifferent way when outside the EIS (i.e. firewall traversal).

[0953] Note, the package can be incomplete, not defining all the assetsthat make up the call graph. In this case, the base environment on thetarget environment bridges the calls that attempt to access resourcesand code in the source environment.

[0954] Additional note, the package can be split into two or morepackages. These packages can be deployed in different targetenvironments. The base environment bridges the calls that attempt toaccess resources and code outside its node.

[0955] Quality of Service (QoS) in the system of FIG. 29 (DistributedInternet Services—DIS) refers to the capacity to route the distributionof assets in a variable manner throughout the network. Certain assetsare deemed higher priority or more secure than other assets. Thoseprivileged assets are routed differently than other assets.

[0956] In the case of priority, the privileged asset would preempt theprocessing of normal assets, be routed ahead of lower priority assets,and/or execute with a higher priority in computational environments.

[0957] In the case of security, the privileged asset would be sent overa more secure channel, encrypted in the cache, and/or stored in thecomputational environment in a secured manner.

[0958] For example, two users are competing for the same Internetresources, yet there is no differentiation between these users or theiruses of the Internet. The casual user is streaming MP3 file and chattingwith friends in a chat room. The corporate user is attempting to conductresearch while preparing a report for a meeting the next morning. Thereis limited bandwidth available, and each user is awarded bandwidth inthe same manner, at the same priority. The casual user is using severalInternet applications simultaneously with a fragmented interest in eachapplication. The corporate user is focused on one application at a time,finding the needed information and moving onto the next task. If theseapplications utilized the QoS capabilities in the DIS, the casual usercould have assets delivered at a lower priority than the corporate user.The assets for the corporate user would preempt the casual user's assetsas each is being distributed. Use of intermediate computationalenvironments would favor the processing for the corporate user over thecasual user. The corporate user's traffic can be monitored and thecorporate user can be charged according to a different service levelagreement than the casual user.

[0959] QoS capabilities work best when resource contention is handled ina consistent manner. In a preferred embodiment, the DIS handles networkinteraction from the source to the target, a complete end-to-endsolution. In this way, DIS provides a QoS capability on top of otherprotocols. And as the number of applications using those sub-protocolsdecreases, the DIS applications enjoy a more effective QoSfunctionality.

[0960]FIG. 29 describes the capability of the DIS to assign, measure,enforce, and report Quality of Service (QoS) functionality throughoutthe DIS system according to one embodiment of the present invention. Oneof the objectives of QoS is to improve performance for higher priorityapplications by queuing and scheduling data as it is sent over anetwork. DIS keeps track of the QoS requirements and capabilitiesend-to-end: on the source tier, distribution tier, and target tier. TheQoS requirements for assets are matched up to the QoS capabilities ofthe system to provide this functionality. The agents each participate insupporting the QoS capabilities by queuing traffic and scheduling thedelivery of that traffic. As assets move through the system, they areeither given space on a queue or space on a network connection(bandwidth).

[0961] Part of the QoS capabilities of DIS is routing the distributionof assets in a variable manner throughout the network. Certain assetsare deemed higher priority or more secure than other assets. Thoseprivileged assets are routed differently than other assets.

[0962] In the case of priority, the privileged asset would preempt theprocessing of normal assets, be routed ahead of lower priority assets,and execute with a higher priority in computational environments. Thisis accomplished by queuing the lower priority assets and delivering thehigher-priority assets. The priority of an asset might be designated inthe Other field (770 of FIG. 7).

[0963] In the case of security, the privileged asset would be sent overa more secure channel, encrypted in the cache, and/or stored in thecomputational environment in a secured manner.

[0964] In step 2910, an agent is about to process a set of assets ordeliver those assets to another agent.

[0965] In step 2920, the agent examines the priority field, e.g. 1179,of the asset specification 1170 for the assets it is attempting toprocess or deliver to another agent.

[0966] In step 2930, the agent applies a quality of service algorithm tothe prioritized list to determine which assets should be assignedresources on the delaying queue (step 2940), and which assets should beprocessed/delivered (step 2950).

[0967] In step 2940, lower priority assets are enqueued until theprocessing/delivery of higher priority assets is completed. As thismethod proceeds, the lower priority assets are either raised in priorityby the QoS algorithm, or they are the highest priority for some round ofevaluation.

[0968] In step 2950, higher priority assets are processed and/ordelivered to other agents.

[0969] Note that Service Level Agreements (SLAs) are the contractsguaranteeing network capabilities. QoS enables the fulfillment of theseSLA guarantees.

[0970] Also note, QoS is typically provided by differentiating datapackets on a network. The data packets are correlated back to anapplication. The correlation allows the packets to be handleddifferently on the network. The correlation is done as an afterthoughtto provide QoS.

[0971] Note, DIS differs from the prior art by coupling the applicationswith an infrastructure that is aware of the different resources thatconstitute those applications. QoS granularity now can go beyond thedata packets associated with an application. For example, QoS can bebased on the DBMS data, moving the data at a higher priority than theother resources that make up an application.

[0972] Note, integration with metrics gathering software and hardwarehelps establish the resource loading and capabilities. Integration withthe network devices (load balancers, switches, routers, networkadapters, hubs) provides a connection between application and datapacket handling.

[0973]FIG. 31 is a block diagram of a general system according to oneembodiment of the present invention being used in various businesssituations. The system has one or more nodes 3130 connected to anoptional intermediate target server (ITS1) 3160. This ITS1 could cacheassets 240 used by a large number of client/target/nodes 3130, e.g.individual users in a large office building. Alternatively, a secondITS2 3170 could be located in a different physical location that happensto be close to a first pervasive device 3140 like a palm pilot, cellphone, or other device that has connection to the network 3110, e.g. bya radio, infrared, connection. A second pervasive device 3150 isconnected to the network directly 3108, e.g. through any generalconnection like an internet service provider (ISP) and does not connectthrough an ITS (3160, 3170) One or more CDS/ADSs 3180 are connected tothe network 3105 as well as one or more sources/EISs (910, 3190).

[0974] In one embodiment, the EIS has a publish 2200 agent, the CDS/ADS3180 has a subscriber 2300 and caching 2500 agent, and the ITS 3160 hasa computational 2400 and subscriber 2300 agent (and alternatively acache agent 2500).

[0975] Referring back to FIG. 30.

[0976] Steps 3002 to 3006 below describe examples of target and clientnodes.

[0977] In step 3002, a deployment engineer or automated process definesthe client workstation using a client node registry specification, sentto the subscriber agent 2300 on the CDS/ADS (960, 3180). The firstclient node is defined as TCN1 3130, and is a workstation within a smallenterprise. TCN1 has the DIS subscriber 2300 and computational 2400agents installed.

[0978] In step 3004, a deployment engineer or an automated processdefines a wireless appliance client. This second client node may bedefined as TCN2 3140, and is a Palm Pilot that is able to connect to theInternet over a wireless connection 3110. The Palm Pilot is capable ofrunning the minimal application server on a Java virtual machine. Thesubscriber 2300 and computational 2400 agents are installed on the TCN23140 to provide the ability to distribute assets to the TCN2, and runthose assets once they are deployed 1700 into the base environment 250on TCN2 3140.

[0979] In step 3006, a deployment engineer or an automated processdefines a wireless appliance client that is meant to have limitedresources. This third client node is defined as TCN3 3150, a device withlimited function, e.g., a Digital PCS Phone with limited Web browsercapabilities. TCN3 is heavily reliant on a point-of-presence in order toconnect to a network, and can only be used to browse content. In thisexample, TCN3 does not have a Java virtual machine—this means that itonly acts as a Web client. None of the Distributed Internet Services(DIS) 900 agents (2200, 2300, 2400, and 2500) are deployed to TCN3 3150.

[0980] Step 3007 continues to define other target nodes that may be onthe network, as above.

[0981] Steps 3008 and 3010 below describe two example intermediatetarget servers.

[0982] In step 3008, a deployment engineer or an automated processdefines an intermediate server 3160 to be used within the same smallenterprise as TCN1 3130. The first intermediate server is defined asITS1 3160, and is a server within a small enterprise that is intended torun part or all of a Web application for one or more client nodes 3130within the small enterprise. The subscriber 2300, computational 2400,and (optional) caching 2500 agents are installed on ITS1 3160.

[0983] In step 3010, a deployment engineer or an automated processdefines an intermediate server to be used as both a point of presencefor TCN3 3150 and as a CDS/ADS for TCN2 3140. The second intermediateserver is defined as ITS2 3170. In a preferred embodiment, the ITS2 3170can be a leased server resource provided by Application Service Provider(ASP) or ISP vendors with the DIS subscriber 2300, (optional) publisher2200, computational 2400, and caching 2500 agents.

[0984] Other servers can be defined in a similar manner.

[0985] Note that when the deployment engineer or automated processdefines a client and/or a server, this definition can be done byproviding the defined computer with agents, e.g., subscription 2300,computation 2400, and/or cache 2500. These agents can be provided usingthe DIS and distributed these agents as packages of assets 240.

[0986] Steps 3012 to 3020 below describe definition ofpackages/applications as they are distributed across tiers of thenetwork.

[0987] In step 3012, a package is defined for the end-user targetenvironment such as TCN1 3130 and ITS1 3160, to enable the distributionof an optimal number of assets 240. For example, 20% of the applicationassets 240 that represents 80% of the time spent in the application bythe average user are distributed to the target. The deployment engineercreates the package specification 1100 explicitly, or employs thediscover process 2100 to identify and characterize the execution of theapplication in the EIS (900, 3190).

[0988] In step 3014, a package 1100, PKG1 is defined for enterprisetarget environments such as ITS1 3160. PKG1 1100 defines an application(sub applications) that can support partial distribution of theapplication. As an example, some of the Web pages will be generated bythe computational agent 2400 on ITS1, some of the Web pages will begenerated back in the EIS.

[0989] In step 3016, a package is defined, PKG2 1100 is defined forend-user target environments such as TCN1 3130. PKG2 defines anapplication that can support partial distribution of the application(sub applications). As an example, some of the Web pages will begenerated by the computational agent 2400 on TCN1 3130, some of the Webpages will be generated back in the EIS.

[0990] In step 3018, a package is defined, PKG3 1100 is defined forwireless access points such as ITS2 3170. The wireless access point,ITS2, is a server in a close proximity to the wireless device (3140,3150). The intention with PKG3 is for assets to execute within thecomputational agent 2400 on ITS2 3170.

[0991] In step 3020, a package is defined, PKG4 1100 is defined forwireless devices such as TCN2 3140. The wireless device, TCN2, isconnected 3110 to the Internet, through the wireless access point ITS2.The intention with PKG4 is for assets 240 to execute both within thecomputational agent 2400 on TCN2 3140 and within the computational agent2400 on ITS2.

[0992] Similar steps are performed to define other end-user targets.

[0993] Steps 3022 to 3036 below describe various preferred ways assets240 are distributed to computational environments and secondary cachesacross the tiers of the network.

[0994] [18] In step 3022, the CDS/ADS initiates the distribution (1200,1300) based on the schedule defined for package PKG1 1100. Thesubscription agent 2300 in the CDS/ADS requests version information fromthe publishing agent 2200 in the EIS. The version information iscompared with the version information for assets 240 already deliveredto ITS1, as described above. If there are assets 240 that have not beendelivered, the subscription agent 2300 on the CDS/ADS requests thoseassets from the publishing agent 2200 on the EIS. The publishing agent2200 exports the requested assets and returns them to the subscriptionagent 2300 on the CDS/ADS. The subscription agent 2300 on the CDS/ADSrequests that the caching agent 2500 on the CDS/ADS store the assets.

[0995] The caching agent 2500 on the CDS/ADS performs processing on allthe new assets in the asset cache.

[0996] In step 3024, the subscription agent 2300 on ITS1 queries thesubscription agent 2300 on CDS/ADS 3180 for new assets/PKG1 1100. Thecaching agent 2500 on ITS1 performs any targeted processing 1900 on theassets 240 that are to be delivered to TCN1. TCN1 requests that thecomputational agent 2400 on ITS1 deploy the assets 240 into the baseenvironment 250 on TCN1.

[0997] In step 3026, do the same as steps 3022 and 3024, except for PKG21100 into the asset cache on ITS1.

[0998] In step 3028, the subscription agent 2300 on TCN1 queries thesubscription agent 2300 on ITS1 for new assets 240, e.g. PKG2 1100. Newassets, associated with PKG2 1100, are distributed down 1400 by thesubscription agent 2300 on ITS1 to the subscription agent 2300 on TCN1.The subscription agent 2300 on TCN1 requests that the computationalagent 2400 on TCN1 deploy 1700 the assets into the base environment 250.

[0999] In step 3030, similar to step 3022 and 3024, except for PKG3 1100into the asset cache on CDS/ADS.

[1000] In step 3032, similar to step 3024, except PKG3 1100 replacesPKG2 and ITS2 replaces ITS1.

[1001] In step 3034, similar to step 3022 and 3024, except for PKG4 isrelayed from the CDS/ADS 3180 asset cache, into the asset cache on ITS2.

[1002] In step 3036, similar to step 3024, except for PKG4 from ITS2cache into computational environment on TCN2.

[1003] Steps 3038 to 3056 below discuss various ways that assets areexecuted in a distributed manner across tier of the network.

[1004] [19] In step 3038, TCN1 may access a Web page that is generatedon the EIS server. This is the same as normal Web applications today,and is still available to use, when using DIS, when appropriate.

[1005] In step 3040, TCN1 may access a Web page from the smallenterprise server ITS1. TCN1 would only need a Web browser to access theapplication in this method over a standard client/server communicationconnection 3107.

[1006] In step 3042, TCN1 may access a Web page from the computationalagent on TCN1. In this case, no part of the application would be runningover the network connections. This is because the assets 240 in the Webpage were distributed over connection 3101 and processed as describedabove.

[1007] In step 3044, TCN1 would access a Web page that was generated byassets that are running on the computational agents TCN1, ITS1, and theEIS. Note that these agents all work together to maintain thecommunication between these assets and a combination of assets in theseenvironments, up to and including all the assets are used to generate asingle Web page, e.g., using the bridge process explained above.

[1008] In step 3046, changes may occur in the computational environmenton TCN1 that need to be synchronized in the EIS. The computational agent2400 on TCN1 identifies the synchronization asset and requests, throughconnection 3101 that the subscription agent 2300 on CDS/ADS synchronize2000 the asset 240. The subscription agent 2300 on the CDS/ADS requeststhat the computational agent 2400 on the EIS synchronizes thesynchronization asset.

[1009] In step 3048, TCN2 may access a Web page from the smallenterprise server ITS2. TCN2 would only need a Web browser to access theapplication in this method. This is a standard known Web page serverconnection 3110. However the assets used to create the small enterpriseserver on ITS2 were distributed from the EIS (900, 3190) overconnections 3103 and 3104 using the agents as described above.

[1010] In step 3050, TCN2 may access a Web page from the computationalagent on TCN2. In this case, no part of the application would be runningover the network connections. This is because the assets 240 in the Webpage were distributed over connection 3110 and processed as describedabove.

[1011] In step 3052, similar to 3044 but only bridging computationbetween TCN2 & ITS2.

[1012] In step 3054, similar to 3046 but between TCN2 & ITS2.

[1013] In step 3056, TCN3 3150 may access a Web page from the smallenterprise server ITS2. TCN3 would only need a Web browser to access theapplication in this method using a well-known Web page server connection3108. However, the assets 240 in the Web page were distributed overconnection 3103 and 3104 and processed as described above. Steps 3058through 3062 below describe distribute of current versions of assets.

[1014] In step 3058, some outside process changes one or more assets onthe EIS.

[1015] In step 3060, the CDS/ADS subscription agent 2300 requests thatthe EIS publishing agent 2200 checks the versions of assets on EIS.

[1016] In step 3062, the CDS/ADS determines if any assets have changedin PKG1 . . . PKG4, if so the new asset(s) is distributed (1200, 1300,and 1400) to the appropriate target environment and asset cache.

[1017]FIG. 18 is the flow chart of the CDS/ADS process asset adaptermethod/process (PAM) according to one embodiment of the presentinvention. The PAM defines the process of creating a version of theasset that is appropriate for the target's (e.g. client) baseenvironment. The version created may have been designed to execute on asource environment that is different than the base environment. In apreferred embodiment, a logic/data layer and/or extended environmentlayer of a digital asset is translated in such a way that it can allowthe digital asset to perform its functions in the target's baseenvironment. In some preferred embodiments, the digital assets arecomponents like Enterprise Java Beans (EJBs).

[1018] For a more detailed description of this invention, and otherinventions related to this invention, see the documents incorporated byreference above.

[1019]FIG. 19 is a flow chart of a target processing asset adaptermethod 1900 that is executed on the CDS/ADS tier against any digitalasset, (typically cached in the CDS/ADS cache) that requires targetedprocessing before being sent to the target tier according to oneembodiment of the present invention. Target processing is intendedprimarily to change the Logic/Data layer of the asset data structure inorder to provide a unique asset that can create or has personalizedinformation for one or more specific targets on the target tier on whichthe digital asset is being deployed. In some embodiments, a targetingprocess adapter 1900 can target to an intermediate target (a server thatwill in turn server many users) or a final target (a single node thatwill serve a single user).

[1020] In several embodiments, the digital asset that has been processedinto a processed asset before being targeted 1900. Processed digitalassets can have a changed Logic/Data layer. Also, the processed assetcould have a changed extended environment layer. Sometimes, the processadapter can change both parts. In other cases, neither the Logic/Datalayer nor the extended environment will be changed. The processed assetis typically stored in the CDS/ADS cache.

[1021] When the asset is sent to the target tier, the deploy assetadapter method 1700 is invoked to deploy the asset into thecomputational environment, i.e., the base environment, in the targettier. The extended environment from the asset's data structure is usedto set the base environment and extended environment in the target tierto run the asset in a correct manner. The asset's logic and data arethen deployed into the base environment, and since the environment hasbeen adjusted, the logic will function correctly and the data will beaccessible.

[1022]FIG. 19 is a flow chart of the CDS/ADS target asset adapter method(TAM) according to one embodiment of the present invention. The TAMdefines the process of creating a targeted data structure from anynumber of assets based on the asset type and other asset information.The process 1900 selects the appropriate target asset adapter (TAA), theimplementation specific construct for this adapter method, based on theasset type and tasks the adapter with creating a data type appropriatetargeted for distribution to a particular client node.

[1023] The process method is typically a process that needs to be donean asset for all respective target environments that are registered forthe package(s) that contain the respective digital asset. The targetmethod is processing that is required for an asset for one or moreparticular target/client that is registered for the respective asset.

[1024] [20] In some preferred embodiments, the TAM 1900 targets digitalassets that are in a “neutral format” and stored on the CDS/ADS. Theneutral format is a format between a proprietary format of a source anda proprietary format of a target for a given asset type. For example foran EJB would be in the neutral format when the EE of the asset hasneither the proprietary parts of the source environment or theproprietary parts of the target environment. For instance, J2EEdeployment descriptors have proprietary sections that may be vendorspecific yet still have other sections with a standard (e.g. publiclydefined) representation, as well.

[1025] In step 1905 of the TAM 1900, the CDS/ADS determines if the assettype is either RD (Reference Data) or ED (Entity Data). If the asset isone of these types, the CDS/ADS tasks the appropriate TAA to performstep 1910.

[1026] In step 1910, the TAA retrieves a “where clause” specified in theasset data structure, typically in the extended environment layer. TheTAA then does a token replacement operation on the “where clause”. In apreferred embodiment, the token replacement is a basic stringreplacement operation, retrieving the replacement value from the nodespecification corresponding to the targeted node. The TAA proceeds tostep 1915.

[1027] In step 1915, the TAA runs a query on the table specified in theasset data structure using the “where clause” from step 1910. The TAAproceeds to step 1920.

[1028] In step 1920, the CDS/ADS takes the records returned from the TAAin step 1915 and puts the records into a simple data structure. TheCDS/ADS then puts the data structure into the LD layer of the asset andreturns the asset to the asset cache.

[1029] For example, an asset of type Reference Data (RD) might need tobe targeted for each client node. The RD's “where clause” would havetokens that need to be replaced using information in the node'sregistry. The asset adapter would perform an SQL query using thetransformed where clause. The data resulting from this query would beplaced in the LD layer of the asset. The asset would then be placed backinto the asset cache.

[1030] Another example of the TAA would be for the Entity Data (ED)asset type. The asset specification might indicate that a targeted queryhas to be performed for each target client node. For the case of aneCommerce application, the ED adapter might query the status of thecurrent orders for an individual customer. The data would then bedistributed to that client. If the client's name were John Smith, onlythe order status information would be downloaded to John Smith. He wouldreceive his order status information, and no one else's. Likewise, otherclients would not receive John Smith's order status information. Thequery is specific to John Smith and is performed when the John Smith'sclient node is ready to receive the information.

[1031] The WHERE clause of the SELECT statement would be something like:

[1032] WHERE first_name=#frame AND last_name=#lname

[1033] and the node specification would be something like:

[1034] fname=John

[1035] lname=Smith

[1036] and the resulting targeted WHERE clause would look like:

[1037] WHERE first_name=“John” AND last_name=“Smith”

[1038] and, the targeting could be further indirected through adirectory service:

[1039] fname=ldap.corp_central.employee.frame

[1040] lname=ldap.corp_central.employee.lname

[1041] where the directory service would resolve the token from somecentralized, possibly Single Sign-On, directory service.

[1042] When changes happen in the target tier that warrantsynchronization, the synchronization asset adapter method 2000 (see FIG.20 below) is executed to create a synchronization asset that ispropagated back through the deployment/distribution tier (optionally)and then into the source tier. The source tier resource (asset) thatcorresponds to the synchronization asset is synchronized with theinformation in the synchronization asset.

[1043]FIG. 20 is a flow chart of the synchronize asset adapter method(SAM) according to one embodiment of the present invention. One functionof the SAM 2000 is to move a “synchronization asset” from one or moretargets to one or more sources. (A synchronization asset is an assetthat is moved from a target environment to a source environment.)

[1044] The SAM typically defines the process by which one or more sourceenvironments can be synchronized with the target environment. However,note that in a general case, synchronization can be used to updateinformation, e.g. changes in assets, on any node in thenetwork—including server nodes or other target nodes. Synchronizationcan also be used to update assets in the CDS/ADS server (or targetand/or EIS nodes performing a distribution function) so that the updatedassets in turn can be distributed to other nodes of the network. While,the description below refers to moving information “back” to a sourceenvironment in order to update the respective source environment,synchronization can be used to move required information any where onthe network to any given network node to provide new information and/orupdated information without loss of generality.

[1045] Note that in some embodiments, the synchronization process couldbe the export process 1600 with the source and target roles reversed.However, a preferred embodiment uses synchronization process 2000 forsynchronization.

[1046] The first step of synchronization process 2000 involves thetarget environment creating a synchronization asset. In a preferredembodiment, the synchronization asset is subsequently moved to theCDS/ADS, then onto the source environment. The source environment issynchronized with the synchronization asset. Synchronization means thatthe source environment will be changed to reflect a change in one ormore of the target environments.

[1047] In step 2010, an external process (e.g., in the base environmentof one or more targets or any other processes external to the CDS/ADS)calls the CDA. These external processes indicate that a synchronizationshould happen. The SAM proceeds to step 2020. The call includes argumentdata that the CDA will pass on to the synchronization asset adapter(SAA) in a hidden fashion. The SAA is an implementation of the SAM 2000for a particular respective asset type. See step 2020.

[1048] For example, the asset specification, e.g., for an ED type mayhave argument data that indicates that a synchronization should happenevery time that a database record in the table corresponding to the EDis changed. The client DBMS would be notified when the ED was deployedinto the target/client environment in which this event needs to occur.The client DBMS would then call the CDA when the database record hadchanged, passing arguments to indicate the asset type, ED, and argumentsthat allow the SAA (for the respective ED) to know how to build thesynchronization asset (or the change in information).

[1049] Other synchronization triggers can include any combination of thefollowing: a timer that would indicate a time frequency at which thesynchronization would happen, a batch trigger that would start thesynchronization based on a certain number of changes or the size ofchanges, a trigger based on navigation in the user interface of theapplication, a trigger based on a certain number of changes being madein one or more database tables, a trigger based on the connectivity ofthe remote target node.

[1050] In step 2020, the CDA selects the appropriate synchronizationasset adapter (SAA) for the asset type indicated by the caller of theprocess. The CDA passes the hidden arguments to the SAA, which proceedsto step 2030.

[1051] In step 2030, the SAA determines if the asset type is ED or EB.If not, the method ends, if so, the method proceeds to step 2040.

[1052] In step 2040, the SAA determines which table is associated withthe asset by examining the arguments. The SAA then retrieves thesynchronization information from the client environment for therespective asset. In the case of an ED or EB, the retrieval informationconstitutes the insertion, deletion, and updating of database recordswhich constitute the changes that the data has undergone at client sincebeing deployed into the client target environment for this respectiveasset.

[1053] In step 2050, the SAA contacts the CDS/ADS, and transfers theasset data structure to the CDS/ADS. For example, this part of the SAA,running on the client environment, can update the LD and/or the EElayers of the respective asset to convert the asset to a synchronizationasset.

[1054] In step 2060, the CDS/ADS determines which (source) EIS node isassociated with the asset. The CDS/ADS does this by retrieving data fromthe asset specification, e.g. machine location. Note that this step, theSAA (i.e. step 2060) in this example is running on the CDS/ADS.

[1055] In step 2070, the CDS/ADS initiates a connection to theappropriate EDA on the EIS (source) node determined in step 2060, andsends the synchronization asset 240S to the EDA/source node.

[1056] In step 2080, the EDA examines the asset data structure 240S todetermine the asset type. The EDA then selects the appropriatesynchronization asset adapter (SAA) 2000 for that asset type. Note thatthis SAA is running on the source node/EIS.

[1057] In step 2090, the SAA determines if the asset type is ED or EB.If not, the method ends, if so, the method proceeds to step 2095.

[1058] In step 2095, the SAA applies the synchronization information(e.g. LD 210 and/or EE layer) in the synchronization asset of the sourceenvironment. Since this is an ED or EB, the changes involve theinsertion, deletion, and updating of database records against the sourcedatabase for the respective asset.

[1059] In one embodiment, the synchronization for data assets, ED & EB,are achieved by recording the SQL queries that are applied to thedatabase table. The queries are recorded in a data structure that iswritten to a file. The file can then be transferred to the databaseserver node, via one or more CDS/ADS nodes. Once the file is on the(source) EIS node with the database table where the data originated, theSQL queries are applied to the database table. If the database table hasbeen partitioned well, the queries will synchronize the sub-partition ofthe table to the state of the table on the client node.

[1060] In alternative embodiments, the source node can be updated withthe entire synchronization asset or with just the necessary changes thatare to be made to the respective asset.

[1061] The routing of the data from the client node to the EIS node isachieved due to the CDS/ADS nodes keeping the routing information forthe data. When it comes time to synchronize the data, the CDS/ADS nodesknow where the originally received the data came from and the CDS/ADSsends the data back through those respective nodes.

[1062] Note that the SAM/SAA 2000 is a process that is typicallydistributed over several tiers of the network. The SAM/SAA providesprocessing support for the synchronization asset on its “life cycle”journey back to the source (EIS) node. On this journey thesynchronization asset carries information reflecting the changes made tothe associated asset deployed on its respective remote clientenvironment. These changes are then updated at the source.

[1063] In a preferred embodiment, the SAM/SAA 2000 can combinesynchronization assets from multiple targets/clients into a “coalescedsynchronization asset” that in sent by itself back to the source (EIS).In this manner, changes for many assets deployed over manyclient/targets can be updated at the source/EIS by processing the singlecoalesced synchronization asset. This can decrease throughputrequirements to the source (increasing speed) and decrease processing atthe EIS.

[1064] In an alternative embodiment, the EE has one or more EIS serverdependencies descriptors. The EIS server dependencies descriptorsidentify an EIS execution environment required on the EIS in order toensure correct utilization of the digital asset on the EIS. The EISexecution environment is that set of EIS systems 105F, EIS sub-systems106F, EIS applications 108, EIS sub-applications 110F, EIS components120F, EIS modules 130F, and EIS functions 140F that the digital assetrequires on the EIS in order to ensure correct utilization of thedigital asset on the EIS. The EIS server dependencies descriptors can beused to ensure that digital assets that reside on the EIS will becorrectly synchronized with digital assets deployed to one or more ofthe target systems, e.g., the EIS server dependencies are used to locatethe source.

[1065] Examples of EIS server dependencies include one or more of thefollowing: EIS operating systems (in rare cases), EIS databasemanagement systems (DBMS), EIS servers, EIS application servers, EIS webapplication servers, one or more accounting, enterprise resourceplanning (ERP) systems, customer relationship management (CRM) systems,business to business (B2B) systems (e.g., supply chain management,etc.), business to customer (B2C) system (e.g. order fulfillmentsystems, electronic shopping systems, etc.), and one or more messageoriented middleware applications. Specific EIS server dependenciesinclude one or more of the following: one or more Oracle DBMS, one ormore Sybase DBMS, and one or more DB2 DBMS.

[1066]FIG. 24 is a flow chart of a computational agent method accordingto one embodiment of the present invention. The computational agentmethod (CA) is responsible for providing the functionality involved withdeployment of assets into a computational environment, and generatingsynchronization assets for other environments.

[1067] In step 2420, the CA 2400 in the source environment is optionallyrequested to synchronize 2000 an asset that the subscription agent 2300forwards from the target environment. The CA selects the propersynchronization asset adapter 2000 to complete the synchronization.Typical this synchronization is done in a way specific to each assettype.

[1068] Asset streaming reduces the transmission of duplicate data.Frames are defined as complete assets. Deltas are the difference betweentwo versions of an asset. One can incrementally apply the deltas againsta prior frame to create a complete asset for the new version associatedwith the delta(s) of that asset. Therefore, the complete new version ofthe asset does not have to be distributed, but only the deltas thatexist between the older (prior) version and the new version.Potentially, asset updating/streaming reduces the bandwidth for datatransmission and offers opportunities for merging synchronizationassets.

[1069] In step 2780, if the EAA is deploying a streaming asset, itdeploys the frame and/or deltas into the target environment. Fordifferent asset types, the application of the delta file has differentmeanings. Overall, the application of the delta is similar to replacingthe existing asset.

[1070] In step 2782, if the asset is registered with synchronizationcapabilities, the EAA saves a copy of the asset for later comparison.

[1071] In step 2784, the CDA is requested to synchronize target assetswith source assets. The CDA selects the appropriate SynchronizationAsset Adapter (SAA) for the specific asset type. If the asset isclassified as a streaming asset, the method proceeds to step 2786

[1072] In step 2786, the SAA creates a delta for the asset. A previouscopy of the asset, created in step 2782, is compared with the currentasset. The difference between these two assets is the delta that will beused to create the delta synchronization asset. The resulting deltasynchronization asset represents the changes that would need to beapplied in the source environment that has had all the previous deltasapplied to the last frame that was sent.

[1073] In step 2788, the SAA continues to synchronize the asset as itnormally would in the synchronize asset adapter method 2000. The deltaasset is treated the same as the asset described in the other methods,and treated in the same manner (e.g. sent to the CDS/ADS). The SAAindicates that the asset is a delta asset by setting a value in theasset data structure to indicate this state.

[1074] In a preferred embodiment, the CDS/ADS might coalesce deltas frommultiple targets before sending those deltas onto the source. This wouldreduce the processing in the source environment and also reduce networktraffic.

[1075] In step 2790, the SAA applies the synchronization information(e.g. LD and/or EE layer) in the synchronization asset of the sourceenvironment. If the asset is a streaming asset, the frames and deltasare applied to the source environment.

[1076] Asset streaming reduces the transmission of duplicate data overthe network. For the purposes of this description, frames are defined ascomplete digital assets. Deltas are the difference between two versionsof a particular digital asset. Accordingly, one can incrementally applythe deltas against a prior frame (prior version of the digital asset) tocreate a complete, new version of the digital asset for a set ofdelta(s) associated with the respective digital asset. Therefore, thecomplete new version of the digital asset does not have to bedistributed, but only the deltas that exist between the older (prior)version and the new version. Distribution of these deltas to createnewer versions of digital assets from older versions of digital assetsis called “streaming.” Potentially, digital asset updating/streamingreduces the bandwidth for data transmission and offers opportunities formerging synchronization assets.

[1077] In some preferred embodiments, the distribution system performsoptimizations to decrease the redistribution of assets to targets ordistribution servers. For example when a digital asset has changed,often the difference between the old asset and the new asset is only asmall difference. The streaming asset provides the additionaloptimization of identifying the parts of an asset that have changed and,therefore, the parts that only need to be sent. By decreasing the amountof information that is sent, the distribution can utilize less bandwidthand increase the amount of network throughput for other applications.Streaming assets represents a major conceptual shift in the distributionof applications and data across tiers of a network.

[1078] [21] For web-based applications, streaming can greatly reduce theamount of redundant data that is sent across the network. For example,an online brokerage application would want to supply up-to-dateportfolio information and order status information to their customers.With existing technologies, the users would poll the server repeatedlyto gain this information. The server would be overloaded at peak timeswhen everyone would want to know his or her portfolio status. The onlinebrokerage would need to increase the network and EIS resources to maketheir systems available under these circumstances, although thisscenario is not representative of their normal user load. Asset baseddistribution would decrease the interaction with the servers at the EISof the online brokerage. Only the changed data would be sent down to theuser, the static content, dynamic content, and EJBs would be located onthe user's PC, or local server. The amount of sent data is greatlyreduced between the EIS and the user, and the EIS performs far lessprocessing because it doesn't have to generate the web page. Thestreaming asset goes one step further, assuring that only the data thathas changed is sent to the client. If only the pricing data has changed,that is all that is transferred to the user. If a small part of a singleJava Server Page (JSP) has changed, only that small change is sent tothe user.

[1079] By combining streaming assets with QoS 2900 capabilities, theCDS/ADS is able to support streaming media such as voice and video.

[1080] Also, through the transfer of video delivery algorithms to thedomain of digital asset distribution, this system is able to achievesignificant efficiencies. In particular, digital assets representingtext files or relational data are streamed to their destination basedupon the amount of change the digital asset has undergone since it waspreviously sent. This allows for a stream of changes to be sent insteadof repeatedly sending redundant data.

[1081] An asset distribution system is expected to have a larger amountof information traveling through it than a typical distribution systemwould. This is due, in part, to the broader applicability of thetechnology. Handling the distribution on the application layer, thedigital asset distribution system is able to determine the minimalamount of data to send to each individual target.

[1082]FIG. 27 is a flow chart of a streaming process according to oneembodiment of the present invention. In a preferred embodiment, thesteps of this process 2700 are an optimized supplement to steps andmethods described elsewhere in this document.

[1083] In step 2705, the Export Asset Adapter (EAA) determines that theasset specification indicates that the current asset should be treatedas a streaming asset. The EAA then performs a test 2707 based on theasset type to determine if a frame or delta needs to be generated. On anasset-by-asset basis, this is done to determine the differences betweena prior asset, e.g. located on a client, and a current asset (latestversion) typically located on the source/EIS. In a preferred embodiment,a copy of the prior asset is retained at the source/EIS to facilitatethis test/comparison. If a frame needs to be generated, the EAAcontinues to step 2710. If a delta needs to be generated, the EAAcontinues to step 2715.

[1084] For example, if the asset type is an EB, ED or RD, the EAA wouldquery the data and based on the amount of data that has changed, wouldeither generate a frame or a delta.

[1085] In step 2710, the EAA continues to export the asset as itnormally would in the export asset adapter method 1600. The frame assetcan be considered the same as the asset described in the other methods,and treated in the same manner. The EAA indicates that the asset is aframe asset by setting a value in the asset data structure to indicatethis state.

[1086] In step 2715, the EAA creates a delta for the asset. A previouscopy of the asset is compared with the current asset. The differencebetween these two assets is the delta that will be used to create thedelta asset. The resulting delta asset represents the changes that wouldneed to be applied in the target environment that has had all theprevious deltas applied to the last frame.

[1087] For example, if the asset type is EB, ED or RD, the EAA wouldquery the data from the source database and would either generate thedelta. In one embodiment, the EAA would generate a version of the lastasset by applying the deltas against the last frame. The EAA would thenperform a row-wise (record-wise) differentiation between the last assetand the current data. Then a (table) column-wise differentiation wouldbe applied. (Difference or comparisons functions are well known.)

[1088] In step 2720, the EAA continues to export the asset as itnormally would in the export asset adapter method 1600. The delta assetis treated the same as the asset described in the other methods, andtreated in the same manner (e.g. sent to the CDS/ADS). The EAA indicatesthat the asset is a delta asset by setting a value in the asset datastructure to indicate this state.

[1089] In step 2725, the CDS/ADS receives an asset and determineswhether it is a streaming asset or a normal asset. If it is normal, theCDS/ADS continues with normal operations 2726, i.e., process 2700terminates. If the asset is a streaming asset, the CDS/ADS continues tostep 2730.

[1090] In step 2730, the CDS/ADS determines whether the asset is a frameor delta. If the asset is a frame, the CDS/ADS goes to step 2735. If theasset is a delta, the CDS/ADS proceeds to step 2740.

[1091] In step 2735, the CDS/ADS finds deltas and last frame for theasset in the asset cache and marks them for removal. The CDS/ADS thencaches the current frame asset and proceeds to step 2745.

[1092] In step 2740, the CDS/ADS caches the delta asset in the assetcache and proceeds to step 2745.

[1093] In step 2745, the CDS/ADS resumes normal operations as if theasset was not a streaming asset.

[1094] In step 2750, the CDS/ADS receives a request to process an asset.If the asset is a streaming asset, the CDS/ADS proceeds to step 2755.Otherwise the CDS/ADS proceeds to process the asset as described in theprocess asset method 1800.

[1095] In step 2755, the CDS/ADS selects the Processing Asset Adapter(PAA) based on asset type. The CDS/ADS requests that the PAA create thecomplete asset by applying the deltas to the frame asset in order ofcreation then proceeds to step 2760.

[1096] In step 2760, the PAA applies the differential algorithm for thatasset type against the processed asset to produce a new delta. In apreferred embodiment, the PAA would create a frame asset if thecombination of the new delta and the existing deltas for the asset arelarger than the frame.

[1097] In step 2765, the CDS/ADS stores the new delta asset in the assetcache.

[1098] In step 2770, the CDS/ADS builds a manifest for a target/clientthat includes a streaming asset. If 2771 the client has the most recentframe asset, the method continues onto step 2772, otherwise the methodgoes to step 2774.

[1099] In step 2772, the CDS/ADS determines the last delta that theclient has received, and adds the subsequent deltas for that asset tothe manifest. The method continues to step 2780.

[1100] In step 2774, the CDS/ADS adds entries for the last frame andsubsequent deltas for the specified asset.

[1101] In step 2780, if the EAA is deploying a streaming asset, itdeploys the frame and/or deltas into the target environment. Fordifferent asset types, the application of the delta file has differentmeanings. Overall, the application of the delta is similar to replacingthe existing asset.

[1102] In step 2782, if the asset is registered with synchronizationcapabilities, the EAA saves a copy of the asset for later comparison.

[1103] In step 2784, the CDA is requested to synchronize target assetswith source assets. The CDA selects the appropriate SynchronizationAsset Adapter (SAA) for the specific asset type. If the asset isclassified as a streaming asset, the method proceeds to step 2786

[1104] In step 2786, the SAA creates a delta for the asset. A previouscopy of the asset, created in step 2782, is compared with the currentasset. The difference between these two assets is the delta that will beused to create the delta synchronization asset. The resulting deltasynchronization asset represents the changes that would need to beapplied in the source environment that has had all the previous deltasapplied to the last frame that was sent.

[1105] In step 2788, the SAA continues to synchronize the asset as itnormally would in the synchronize asset adapter method 2000. The deltaasset is treated the same as the asset described in the other methods,and treated in the same manner (e.g. sent to the CDS/ADS). The SAAindicates that the asset is a delta asset by setting a value in theasset data structure 1175 to indicate this state.

[1106] In a preferred embodiment, the CDS/ADS might coalesce deltas frommultiple targets before sending those deltas onto the source. This wouldreduce the processing in the source environment and also reduce networktraffic.

[1107] In step 2790, the SAA applies the synchronization information(e.g. LD and/or EE layer) in the synchronization asset of the sourceenvironment. If the asset is a streaming asset, the frames and deltasare applied to the source environment.

[1108] Several embodiments of the present invention are specificallyillustrated and described herein. However, it will be appreciated thatmodifications and variations of the present invention are covered by theabove teachings and within the purview of the appended claims withoutdeparting from the spirit and intended scope of the invention.

What is claimed is:
 1. A system for translating an asset into a targetenvironment format, comprising: a processor; and a memory, coupled tothe processor, storing at least one asset, the asset having a logic/datasection and an extended environment section, the logic/data sectiondefining a function of the asset and an asset type and the extendedenvironment section supporting the function of the asset in at least onesource environment, the memory further storing instructions adapted tobe executed by the processor to: determine an asset type of the asset,select a process asset adapter associated with the asset type and atarget environment, and translate the asset into a processed asset, theprocessed asset having a processed extended environment sectionsupporting the function of the logic/data section in the targetenvironment.
 2. The system according to claim 1, further includinginstructions adapted to be executed by the processor to store theprocessed asset in the memory.
 3. The system according to claim 1,wherein the target environment is a base environment deployed on atarget system as at least one asset.
 4. The system according to claim 1,wherein the source environment includes at least one of an EnterpriseInformation System, Windows 95, Windows NT, Weblogic, Unix, Linux,Websphere, iPlanet, and JBOSS.
 5. The system according to claim 1,wherein the target environment includes at least one of Windows 95,Windows NT, Unix, Linux, JBOSS, Weblogic, Websphere, and iPlanet.
 6. Thesystem according to claim 1, wherein said selecting is based on at leastone of the logic/data section, and the extended environment section. 7.The system according to claim 1, wherein said selecting is based on adescriptor associated with the target environment and a descriptorassociated with the extended environment section.
 8. The systemaccording to claim 1, wherein the asset type is at least one of asession bean and an entity bean.
 9. The system according to claim 8,further including instructions adapted to be executed by the processorto remove an EJB implementation from the logic/data section.
 10. Thesystem according to claim 9, further including instructions adapted tobe executed by the processor to: generate a plurality of EJB stubs andskeletons associated with the target environment; generate at least oneclass required by the target environment to execute the asset, the classhaving at least one associated translated deployment descriptor; andmove the EJB stubs and skeletons and the translated deploymentdescriptor into the asset.
 11. The system according to claim 10, whereinthe EJB stubs and skeletons and the translated deployment descriptorsare moved into the extended environment section of the asset.
 12. Thesystem according to claim 11, further including a cache memory.
 13. Thesystem according to claim 12, further including instructions adapted tobe executed by the processor to store the processed asset in the cachememory.
 14. The system according to claim 12, further includinginstructions adapted to be executed by the processor to create at leastone EJB proxy that is moved into the asset.
 15. A method for translatingan asset into a target environment format, comprising: determining anasset type of the asset, the asset having a logic/data section and anextended environment section, the logic/data section defining a functionof the asset and an asset type and the extended environment sectionsupporting the function of the asset in at least one source environment;selecting a process asset adapter associated with the asset type and atarget environment, and translating the asset into a processed asset,the processed asset having a processed extended environment sectionsupporting the function of the logic/data section in the targetenvironment.
 16. The method according to claim 15, further includingstoring the processed asset in the memory.
 17. The method according toclaim 15, wherein the target environment is a base environment deployedon a target system as an asset.
 18. The method according to claim 15,wherein the source environment includes at least one of an EnterpriseInformation System, Windows 95, Windows NT, Weblogic, Unix, Linux,Websphere, iPlanet, and JBOSS.
 19. The method according to claim 15,wherein the target environment includes at least one of Windows 95,Windows NT, Unix, Linux, JBOSS, Weblogic, Websphere, and iPlanet. 20.The method according to claim 15, wherein said selecting is based on atleast one of the logic/data section, and the extended environmentsection.
 21. The method according to claim 15, wherein said selecting isbased on a descriptor associated with the target environment and adescriptor associated with the extended environment section.
 22. Themethod according to claim 15, wherein the asset type is at least one ofa session bean and an entity bean.
 23. The method according to claim 22,further comprising removing an EJB implementation from the logic/datasection.
 24. The method according to claim 23, further comprising:generating a plurality of EJB stubs and skeletons associated with thetarget environment; generating at least one class required by the targetenvironment to execute the asset, the class having at least oneassociated translated deployment descriptor; and moving the EJB stubsand skeletons and the translated deployment descriptor into the asset.25. The method according to claim 24, wherein the EJB stubs andskeletons and the translated deployment descriptors are moved into theextended environment section of the asset.
 26. The method according toclaim 25, further including storing the processed asset in a cachememory.
 27. The method according to claim 25, further including creatingat least one EJB proxy that is moved into the asset.
 28. A method fortranslating an asset for delivery to a multi-tiered network node,comprising: determining an asset type associated with the asset;selecting a process asset adapter associated with the asset; retrievinga deployment descriptor from a data structure associated with the asset;translating the deployment descriptor into a format associated with thenode; creating a plurality of class stubs and skeletons associated withthe translated deployment descriptor; and inserting the translateddeployment descriptor and the plurality of class stubs and skeletonsinto the data structure associated with the asset.
 29. The method ofclaim 28, wherein the asset is an entity bean type.
 30. The method ofclaim 28, wherein the asset is a session bean type.
 31. The method ofclaim 28, wherein the data structure includes a logic/data part and anextended environment part.
 32. The method of claim 31, wherein thedeployment descriptor is retrieved from the extended environment part.33. The method of claim 31, wherein the translated deployment descriptorand the plurality of class stubs and skeletons are inserted into theextended environment part.
 34. The method of claim 31, wherein saidselecting the process asset adapter is based on the logic/data part andthe format associated with the node.
 35. The method of claim 32, whereinsaid selecting the process asset adapter is based on the deploymentdescriptor retrieved from the extended environment part.
 36. The methodof claim 31, further including removing an enterprise Java beanimplementation from the logic/data part.
 37. The method of claim 36,further including generating a plurality of classes associated with theplurality of class stubs and skeletons.
 38. A computer-readable mediumthat stores instructions for translating an asset for delivery to amulti-tiered network node, the instructions adapted to be executed by aprocessor to perform the steps of: determining an asset type associatedwith the asset; selecting a process asset adapter associated with theasset; retrieving a deployment descriptor from a data structureassociated with the asset; translating the deployment descriptor into aformat associated with the node; creating a plurality of class stubs andskeletons associated with the translated deployment descriptor; andinserting the translated deployment descriptor and the plurality ofclass stubs and skeletons into the data structure associated with theasset.
 39. A system for translating an asset for delivery to amulti-tiered network node, comprising: a processor; a memory, coupled tothe processor, storing instructions adapted to be executed by saidprocessor to: determine an asset type associated with the asset; selecta process asset adapter associated with the asset; retrieve a deploymentdescriptor from a data structure associated with the asset; translatethe deployment descriptor into a format associated with the node; createa plurality of stubs and skeletons associated with the translateddeployment descriptor; and insert the translated deployment descriptorand the plurality of stubs and skeletons into the data structureassociated with the asset.
 40. A system for translating an asset into atarget environment format, comprising: means for determining an assettype of the asset, the asset having a logic/data section and an extendedenvironment section, the logic/data section defining a function of theasset and an asset type and the extended environment section supportingthe function of the asset in at least one source environment; means forselecting a process asset adapter associated with the asset type and atarget environment, and means for translating the asset into a processedasset, the processed asset having a processed extended environmentsection supporting the function of the logic/data section in the targetenvironment.
 41. A system for translating an asset for delivery to amulti-tiered network node, comprising: means for determining an assettype associated with the asset; means for selecting a process assetadapter associated with the asset; means for retrieving a deploymentdescriptor from a data structure associated with the asset; means fortranslating the deployment descriptor into a format associated with thenode; means for creating a plurality of class stubs and skeletonsassociated with the translated deployment descriptor; and means forinserting the translated deployment descriptor and the plurality ofclass stubs and skeletons into the data structure associated with theasset.